v1.4.1 · 100% on-device · MIT
auge --all on the 1948 Bell Labs transistor inventors photo: face bboxes, body skeletons, hand landmarks, saliency rectangles all rendered into the image

auge

Apple Vision from your terminal.

Point auge at any image. Get OCR, classification, barcodes, faces & landmarks, body / hand / animal pose, document parsing, aesthetics scoring, smudge detection, saliency, contours, embeddings — 22 capabilities, structured JSON, one command. The Vision framework is already on your Mac. auge gives you a UNIX CLI to all of it.

100% on-device No API keys Zero dependencies Pipe-friendly macOS 26 / Tahoe
$brew install Arthur-Ficial/tap/auge

Source: github.com/Arthur-Ficial/auge

Requires: macOS 26 (Tahoe) · Apple Silicon · No Xcode needed

Everything runs on your device. No network calls. No data leaves your Mac. Enforced at runtime by a URLProtocol guard that hard-exits any HTTP attempt.
Watch it work

One image in. Everything out.

--all in a single pass — OCR + classify + barcodes + faces. Plus 18 more flags for documents, body / hand / animal pose, face landmarks, aesthetics, lens-smudge, saliency, rectangles, horizon, contours, embeddings. Every card below shows the v1.3 Deep analysis tile — same image, expanded view.

Terminal — auge
$ auge --all photo.jpg === OCR === (no text) === CLASSIFY === animal: 92% cat: 92% feline: 92% mammal: 92% === BARCODES === (none) === FACES === 0 faces detected $ auge --all -o json scan.pdf # PDF natively, full structured output $ auge --all --md doc.png | apfel "summarize" $ auge --all --clipboard # NSPasteboard image input
Why auge

Zero APIs. Zero downloads. Zero cost.

Apple's Vision framework is already on your Mac, used by Photos and the Camera app. auge is a thin Swift wrapper that exposes it to the shell.

$0
Per request
No API keys, no usage tier, no per-token billing. Run it a million times.
100%
On-device
Zero network calls. Hard-enforced at runtime - any HTTP attempt aborts.
0
Dependencies
Pure Swift, no third-party packages. Vision ships with macOS.
230
Tests passing
Pure-Swift test runner, no XCTest. Same pattern as apfel.
Four analyses, one tool

What auge does.

Each analysis maps to a Vision framework request. Use them individually, or use --all for everything at once.

OCR

auge --ocr image.png

Text recognition via VNRecognizeTextRequest. Handles screenshots, scans, photos of signs, even handwriting. PDF input goes through PDFKit (text layer when present, rasterize for OCR otherwise).

$ auge --ocr --langs en-US,de-DE doc.png
Hello World
Grüß Gott

Classify

auge --classify image.jpg

Image classification via VNClassifyImageRequest. 1000+ categories with confidence percentages. Animals, vehicles, objects, scenes, materials - the same model Photos uses.

$ auge --classify cat.jpg
animal: 92%
cat: 92%
feline: 92%

Barcodes

auge --barcode image.png

Barcode and QR detection via VNDetectBarcodesRequest. Returns the decoded payload plus the symbology (QR, EAN, Code128, PDF417, Aztec, and more).

$ auge --barcode qr.png
[QR] http://en.m.wikipedia.org

Faces

auge --faces image.jpg

Face detection via VNDetectFaceRectanglesRequest. Counts faces and returns normalized bounding boxes (x, y, width, height) you can draw over the image.

$ auge --faces -o json group.jpg
{"count":7,"faces":[
  {"x":0.21,"y":0.38,"w":0.49,"h":0.38},
  ...
]}
How it works

Apple's vision engine. UNIX semantics.

auge is a thin Swift CLI over the Vision framework. The model lives in macOS - auge just gives you a way to call it from the shell.

1

Image in (any source)

File path, stdin pipe (cat x.png | auge --ocr), --clipboard for NSPasteboard, or PDF (PDFKit handles text layer or rasterizes pages).

2

Vision request, on-device

auge calls the matching VN…Request on your Mac's Apple Silicon (or Intel) GPU/Neural Engine. The model is shipped with macOS - no download, no API.

3

Structured output

Plain text, Markdown, JSON, NDJSON, or compact short-key JSON. Pipe it to jq, apfel, llm, or any UNIX tool.

The data flow

image / pdf / clipboard / stdin
→
NetworkGuard (URLProtocol)
→
Vision framework (on-device)
→
JSON / Plain / Markdown / NDJSON → stdout

NetworkGuard registers a URLProtocol that intercepts every http / https / ws / wss request inside the auge process and exits non-zero with a stderr message. If a future dependency, plugin, or accidental bug ever tries to reach the network, auge dies before the call lands. Belt and suspenders.

Capabilities

Everything auge supports.

One binary, every mode, every common image format, dozens of languages, every major barcode standard. All on-device.

Input formats

  • PNG · JPEG · HEIC · HEIF
  • TIFF · BMP · GIF
  • PDF (multi-page, text-layer or rasterize)
  • NSPasteboard image (--clipboard)
  • Stdin pipe (file paths or bytes)

Analyses

  • --ocr Text recognition (VNRecognizeTextRequest)
  • --classify 1000+ labels (VNClassifyImageRequest)
  • --barcode 12 symbologies (VNDetectBarcodesRequest)
  • --faces Bounding boxes (VNDetectFaceRectanglesRequest)
  • --all Every analysis in one pass

Output formats

  • plain Default; structured per mode
  • json Pretty-printed structured output
  • --compact Single-line JSON
  • ndjson One JSON record per line
  • md GitHub-flavored Markdown

Barcode symbologies

  • QR · Aztec · DataMatrix
  • EAN-13 · EAN-8 · UPC-A · UPC-E
  • Code 128 · Code 39 · Code 93
  • PDF417 · ITF (Interleaved 2 of 5)
  • Plus URL/vCard/WiFi schema decoding

OCR languages (BCP-47)

  • Latin script: en, de, fr, es, it, pt, nl, sv, da, nb, fi, pl, cs, hu, tr, vi, cy, la
  • CJK: zh-Hans, zh-Hant, ja, ko
  • RTL: ar, he, fa, ur
  • Other: ru, uk, sr-Cyrl, sr-Latn, el, hi, th, id
  • Mix any of them with --langs a,b,c

OCR controls

  • --langs BCP-47 hints (priority order)
  • --enhance Upscale tiny inputs before OCR
  • --dpi PDF rasterization 72-600 (default 200)
  • --prefer-embedded Use PDF text layer if present
  • --clean FoundationModels post-pass (macOS 26+)

Privacy guarantees

  • 100% on-device · No API keys · No telemetry
  • NetworkGuard URLProtocol blocks every http/https/ws/wss at runtime
  • Zero third-party Swift dependencies
  • No model downloads (Vision ships with macOS)
  • MIT license

Platform & build

  • macOS 10.15+ (full set on macOS 26 Tahoe)
  • Apple Silicon or Intel
  • Builds with Command Line Tools - no Xcode
  • Swift 6.3 strict concurrency
  • Hand-rolled CLI - no swift-argument-parser
Real documents, real auge

Public-domain corpus, real outcomes.

Every example below is processed by running the real auge binary (v1.4.1) on a public-domain document from Wikimedia Commons - at build time, on a Mac, with no network. Each card shows what auge produced: structured OCR text, classification labels with confidence, barcode payloads, face bounding boxes overlaid on the image, plus the full JSON output, on-device. Nothing is mocked or post-processed.

72examples below
14with face detection
26with OCR text extraction
10with QR / barcode decoding
72with classification labels
16distinct languages OCR'd
The transistor inventors - Bell Labs, 1948
attention 1 · 63%
face 1
face 2
face 3
faces 1948 Public Domain (Bell Labs PR photo, PD-US-no-notice)

The transistor inventors - Bell Labs, 1948

John Bardeen, William Shockley, Walter Brattain - the three Bell Labs scientists who invented the transistor in December 1947, photographed the next year. Every CPU on Earth descends from this workbench. auge detects all three faces.

$ auge --all bell-labs-transistor.jpg
A OCR no text
No text detected in this image.
# Classify 10 labels
people
81%
adult
81%
clothing
71%
necktie
67%
cord
49%
suit
49%
structure
35%
furniture
35%
table
34%
tableware
26%
▦ Barcodes none
No barcodes or QR codes detected.
☻ Faces 3 detected
3 faces located. Bounding boxes overlaid on the image above.
face 1: x=0.273 y=0.700 w=0.123 h=0.155
face 2: x=0.442 y=0.495 w=0.119 h=0.149
face 3: x=0.609 y=0.651 w=0.129 h=0.162
⨯Face landmarks3 faces · 76 pts each
Per-face roll / yaw / pitch (head pose) and ~76 anchor points (eyes, brows, nose, lips, jawline, pupils). Points drawn on the image above.
face 1 — bbox=(0.274, 0.700, 0.123, 0.155) — pose not reported
faceContour 17 pts (0.789, 0.721), (0.794, 0.626), (0.788, 0.530), (0.765, 0.435), (0.734, 0.344), (0.693, 0.256), (0.648, 0.171), (0.600, 0.090), (0.518, 0.042), (0.379, 0.052), (0.250, 0.105), (0.131, 0.178), (0.025, 0.270), (-0.054, 0.384), (-0.089, 0.518), (-0.102, 0.656), (-0.106, 0.789)
innerLips 6 pts (0.478, 0.296), (0.560, 0.291), (0.592, 0.301), (0.591, 0.297), (0.559, 0.286), (0.477, 0.291)
leftEye 6 pts (0.275, 0.734), (0.323, 0.757), (0.394, 0.757), (0.430, 0.720), (0.383, 0.710), (0.319, 0.713)
leftEyebrow 6 pts (0.198, 0.820), (0.334, 0.862), (0.473, 0.844), (0.468, 0.799), (0.336, 0.813), (0.204, 0.794)
leftPupil 1 pt (0.372, 0.740)
medianLine 10 pts (0.577, 0.740), (0.595, 0.661), (0.616, 0.581), (0.633, 0.502), (0.587, 0.434), (0.563, 0.317), (0.560, 0.291), (0.559, 0.286), (0.554, 0.240), (0.518, 0.042)
nose 8 pts (0.595, 0.661), (0.467, 0.548), (0.465, 0.451), (0.528, 0.447), (0.587, 0.434), (0.619, 0.444), (0.650, 0.454), (0.637, 0.545)
noseCrest 6 pts (0.577, 0.740), (0.595, 0.661), (0.616, 0.581), (0.633, 0.502), (0.522, 0.496), (0.657, 0.478)
outerLips 14 pts (0.413, 0.311), (0.473, 0.318), (0.531, 0.323), (0.563, 0.317), (0.594, 0.325), (0.613, 0.325), (0.630, 0.321), (0.641, 0.314), (0.622, 0.280), (0.591, 0.253), (0.554, 0.240), (0.483, 0.245), (0.414, 0.268), (0.353, 0.304)
rightEye 6 pts (0.755, 0.733), (0.722, 0.760), (0.663, 0.751), (0.628, 0.722), (0.668, 0.715), (0.722, 0.713)
rightEyebrow 6 pts (0.837, 0.821), (0.747, 0.849), (0.651, 0.832), (0.654, 0.792), (0.745, 0.803), (0.833, 0.793)
rightPupil 1 pt (0.719, 0.739)
face 2 — bbox=(0.441, 0.488, 0.127, 0.160) — pose not reported
faceContour 17 pts (0.603, 0.831), (0.660, 0.753), (0.707, 0.668), (0.737, 0.576), (0.756, 0.480), (0.768, 0.383), (0.784, 0.282), (0.803, 0.183), (0.774, 0.092), (0.651, 0.021), (0.514, -0.004), (0.371, -0.008), (0.228, 0.010), (0.095, 0.066), (-0.010, 0.165), (-0.096, 0.279), (-0.172, 0.395)
innerLips 6 pts (0.589, 0.290), (0.672, 0.334), (0.692, 0.358), (0.698, 0.358), (0.679, 0.330), (0.596, 0.285)
leftEye 6 pts (0.215, 0.578), (0.245, 0.622), (0.302, 0.663), (0.347, 0.657), (0.316, 0.627), (0.263, 0.592)
leftEyebrow 6 pts (0.095, 0.568), (0.200, 0.691), (0.348, 0.761), (0.368, 0.719), (0.230, 0.648), (0.115, 0.548)
leftPupil 1 pt (0.283, 0.635)
medianLine 10 pts (0.464, 0.743), (0.531, 0.672), (0.602, 0.600), (0.670, 0.530), (0.641, 0.445), (0.662, 0.355), (0.672, 0.334), (0.679, 0.330), (0.697, 0.286), (0.774, 0.092)
nose 8 pts (0.531, 0.672), (0.483, 0.495), (0.528, 0.407), (0.583, 0.429), (0.641, 0.445), (0.657, 0.470), (0.671, 0.497), (0.612, 0.571)
noseCrest 6 pts (0.464, 0.743), (0.531, 0.672), (0.602, 0.600), (0.670, 0.530), (0.571, 0.468), (0.677, 0.509)
outerLips 14 pts (0.521, 0.274), (0.578, 0.308), (0.634, 0.344), (0.662, 0.355), (0.684, 0.378), (0.698, 0.388), (0.711, 0.396), (0.721, 0.403), (0.727, 0.363), (0.721, 0.321), (0.697, 0.286), (0.626, 0.250), (0.544, 0.236), (0.463, 0.241)
rightEye 6 pts (0.583, 0.838), (0.545, 0.836), (0.504, 0.796), (0.490, 0.758), (0.525, 0.779), (0.569, 0.807)
rightEyebrow 6 pts (0.645, 0.945), (0.545, 0.914), (0.467, 0.839), (0.491, 0.807), (0.568, 0.875), (0.656, 0.918)
rightPupil 1 pt (0.551, 0.816)
face 3 — bbox=(0.604, 0.650, 0.133, 0.167) — pose not reported
faceContour 17 pts (1.180, 0.938), (1.202, 0.791), (1.220, 0.638), (1.212, 0.484), (1.144, 0.346), (1.035, 0.231), (0.909, 0.136), (0.766, 0.069), (0.612, 0.056), (0.544, 0.123), (0.513, 0.217), (0.473, 0.307), (0.427, 0.394), (0.384, 0.481), (0.351, 0.574), (0.336, 0.672), (0.329, 0.768)
innerLips 6 pts (0.488, 0.309), (0.502, 0.307), (0.592, 0.324), (0.591, 0.321), (0.500, 0.304), (0.485, 0.306)
leftEye 6 pts (0.305, 0.783), (0.330, 0.802), (0.377, 0.795), (0.406, 0.775), (0.375, 0.765), (0.331, 0.766)
leftEyebrow 6 pts (0.136, 0.850), (0.225, 0.875), (0.322, 0.858), (0.326, 0.817), (0.231, 0.828), (0.144, 0.817)
leftPupil 1 pt (0.339, 0.785)
medianLine 10 pts (0.383, 0.774), (0.362, 0.669), (0.339, 0.562), (0.322, 0.458), (0.444, 0.418), (0.492, 0.331), (0.502, 0.307), (0.500, 0.304), (0.518, 0.258), (0.612, 0.056)
nose 8 pts (0.362, 0.669), (0.398, 0.538), (0.392, 0.431), (0.418, 0.423), (0.444, 0.418), (0.498, 0.446), (0.555, 0.466), (0.535, 0.567)
noseCrest 6 pts (0.383, 0.774), (0.362, 0.669), (0.339, 0.562), (0.322, 0.458), (0.363, 0.433), (0.461, 0.486)
outerLips 14 pts (0.461, 0.319), (0.459, 0.327), (0.464, 0.335), (0.492, 0.331), (0.519, 0.338), (0.587, 0.345), (0.659, 0.354), (0.728, 0.360), (0.666, 0.310), (0.593, 0.274), (0.518, 0.258), (0.488, 0.267), (0.470, 0.288), (0.466, 0.313)
rightEye 6 pts (0.675, 0.773), (0.634, 0.782), (0.574, 0.784), (0.544, 0.764), (0.581, 0.752), (0.638, 0.756)
rightEyebrow 6 pts (0.737, 0.829), (0.579, 0.868), (0.418, 0.851), (0.429, 0.801), (0.582, 0.812), (0.732, 0.799)
rightPupil 1 pt (0.593, 0.771)
⌒Animals (cat/dog)0 detected
No cats or dogs detected by VNRecognizeAnimalsRequest. (The recognizer is conservative — paintings, distant or partial subjects often score below threshold.)
🐾Animal pose0 animals
No animal body poses detected.
⩎Body pose3 bodies
19 named joints per body — head, ears, eyes, neck, shoulders, elbows, wrists, root, hips, knees, ankles. Skeleton drawn on the image above; per-body skeleton + every joint name and (x, y, confidence) below.
person 1 — 19 joints — avg confidence 30.0% (of 12 confident joints: 47.5%)
head 3 joints head_joint (0.343, 0.790) c=0.81 left_ear_joint (0.000, 1.000) c=0.00 right_ear_joint (0.250, 0.811) c=0.76
eyes 2 joints left_eye_joint (0.357, 0.822) c=0.88 right_eye_joint (0.310, 0.822) c=0.88
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.000, 1.000) c=0.00 left_upLeg_joint (0.350, 0.339) c=0.14
left arm 3 joints left_forearm_joint (0.000, 1.000) c=0.00 left_hand_joint (0.000, 1.000) c=0.00 left_shoulder_1_joint (0.384, 0.655) c=0.47
torso 2 joints neck_1_joint (0.281, 0.656) c=0.46 root (0.290, 0.331) c=0.20
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.000, 1.000) c=0.00 right_upLeg_joint (0.231, 0.322) c=0.26
right arm 3 joints right_forearm_joint (0.153, 0.446) c=0.27 right_hand_joint (0.174, 0.361) c=0.13 right_shoulder_1_joint (0.177, 0.656) c=0.45
person 2 — 19 joints — avg confidence 30.0% (of 11 confident joints: 51.8%)
head 3 joints head_joint (0.654, 0.736) c=0.77 left_ear_joint (0.771, 0.818) c=0.69 right_ear_joint (0.000, 1.000) c=0.00
eyes 2 joints left_eye_joint (0.680, 0.778) c=0.90 right_eye_joint (0.644, 0.789) c=0.72
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.000, 1.000) c=0.00 left_upLeg_joint (0.845, 0.134) c=0.22
left arm 3 joints left_forearm_joint (0.000, 1.000) c=0.00 left_hand_joint (0.000, 1.000) c=0.00 left_shoulder_1_joint (0.878, 0.714) c=0.56
torso 2 joints neck_1_joint (0.767, 0.686) c=0.59 root (0.774, 0.148) c=0.20
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.000, 1.000) c=0.00 right_upLeg_joint (0.704, 0.163) c=0.19
right arm 3 joints right_forearm_joint (0.646, 0.478) c=0.23 right_hand_joint (0.000, 1.000) c=0.00 right_shoulder_1_joint (0.656, 0.657) c=0.62
person 3 — 19 joints — avg confidence 45.5% (of 14 confident joints: 61.7%)
head 3 joints head_joint (0.505, 0.587) c=0.80 left_ear_joint (0.000, 1.000) c=0.00 right_ear_joint (0.409, 0.563) c=0.76
eyes 2 joints left_eye_joint (0.507, 0.621) c=0.90 right_eye_joint (0.467, 0.599) c=0.79
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.000, 1.000) c=0.00 left_upLeg_joint (0.576, 0.122) c=0.25
left arm 3 joints left_forearm_joint (0.628, 0.221) c=0.52 left_hand_joint (0.526, 0.175) c=0.72 left_shoulder_1_joint (0.593, 0.456) c=0.67
torso 2 joints neck_1_joint (0.481, 0.451) c=0.71 root (0.494, 0.124) c=0.24
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.000, 1.000) c=0.00 right_upLeg_joint (0.411, 0.126) c=0.24
right arm 3 joints right_forearm_joint (0.330, 0.237) c=0.66 right_hand_joint (0.343, 0.172) c=0.61 right_shoulder_1_joint (0.369, 0.447) c=0.76
✋Hand pose2 hands
21 keypoints per hand (wrist + 4 per finger × 5 fingers). Chirality reported per hand. Per-hand skeleton + every joint with full (x, y, confidence) below.
hand 1 — 21 joints — avg confidence 62.6% (of 21 confident joints: 62.6%)
index 4 joints VNHLKIDIP (0.469, 0.171) c=0.63 VNHLKIMCP (0.507, 0.180) c=0.75 VNHLKIPIP (0.485, 0.173) c=0.65 VNHLKITIP (0.459, 0.172) c=0.57
middle 4 joints VNHLKMDIP (0.466, 0.153) c=0.43 VNHLKMMCP (0.511, 0.149) c=0.77 VNHLKMPIP (0.483, 0.146) c=0.54 VNHLKMTIP (0.457, 0.160) c=0.62
pinky 4 joints VNHLKPDIP (0.460, 0.129) c=0.74 VNHLKPMCP (0.496, 0.118) c=0.56 VNHLKPPIP (0.474, 0.121) c=0.47 VNHLKPTIP (0.455, 0.137) c=0.74
ring 4 joints VNHLKRDIP (0.461, 0.141) c=0.63 VNHLKRMCP (0.504, 0.128) c=0.83 VNHLKRPIP (0.476, 0.129) c=0.58 VNHLKRTIP (0.454, 0.149) c=0.70
thumb 4 joints VNHLKTCMC (0.506, 0.193) c=0.65 VNHLKTIP (0.462, 0.197) c=0.63 VNHLKTMP (0.486, 0.204) c=0.39 VNHLKTTIP (0.449, 0.183) c=0.69
wrist 1 joint VNHLKWRI (0.516, 0.167) c=0.57
hand 2 — 21 joints — avg confidence 4.2% (of 7 confident joints: 12.6%)
index 4 joints VNHLKIDIP (0.308, 0.195) c=0.00 VNHLKIMCP (0.308, 0.195) c=0.00 VNHLKIPIP (0.346, 0.124) c=0.10 VNHLKITIP (0.308, 0.195) c=0.00
middle 4 joints VNHLKMDIP (0.346, 0.130) c=0.10 VNHLKMMCP (0.350, 0.133) c=0.16 VNHLKMPIP (0.346, 0.128) c=0.17 VNHLKMTIP (0.308, 0.195) c=0.00
pinky 4 joints VNHLKPDIP (0.308, 0.195) c=0.00 VNHLKPMCP (0.308, 0.195) c=0.00 VNHLKPPIP (0.308, 0.195) c=0.00 VNHLKPTIP (0.308, 0.195) c=0.00
ring 4 joints VNHLKRDIP (0.345, 0.129) c=0.12 VNHLKRMCP (0.351, 0.134) c=0.12 VNHLKRPIP (0.346, 0.127) c=0.12 VNHLKRTIP (0.308, 0.195) c=0.00
thumb 4 joints VNHLKTCMC (0.308, 0.195) c=0.00 VNHLKTIP (0.308, 0.195) c=0.00 VNHLKTMP (0.308, 0.195) c=0.00 VNHLKTTIP (0.308, 0.195) c=0.00
wrist 1 joint VNHLKWRI (0.308, 0.195) c=0.00
★Aesthetics0.634
memorable
overallScore range −1.00 utility → +1.00 memorable · 81.7% along scale
●Lens smudge3.90%
clean lens
confidence 0.03900146484375 · 0% clean · 100% smudged
◉Saliency · attention1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 62.9% confidence — bbox=(0.110, 0.117, 0.727, 0.856)
◉Saliency · objectness2 regions
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 37.5% confidence — bbox=(0.031, 0.144, 0.126, 0.281)
region 2 — 77.6% confidence — bbox=(0.202, 0.007, 0.781, 0.970)
▱Quadrilaterals1 detected
1 four-cornered shape — paper, screens, signs. Outlined on the image above.
rect 1 — 100.0% confidence — corners tl(0.494,0.525) tr(0.641,0.462) bl(0.522,0.173) br(0.665,0.139)
▭Text regions0 detected
No text regions detected by the cheap probe.
⏤Horizonno horizon
No horizon line detected (no clear sky/ground separation).
∿Contours673 total · 217 top-level
Vector edge contours of detected shapes. 32 paths drawn on the image above (sampled from top-level).
path 1 — 4 points —
1: (0.665, 0.925) 2: (0.665, 0.926) 3: (0.665, 0.925) 4: (0.665, 0.924)
path 2 — 4 points —
1: (0.222, 0.626) 2: (0.222, 0.628) 3: (0.221, 0.626) 4: (0.222, 0.625)
path 3 — 25 points —
1: (0.337, 0.729) 2: (0.339, 0.729) 3: (0.341, 0.730) 4: (0.343, 0.732) 5: (0.345, 0.732) 6: (0.346, 0.734) 7: (0.346, 0.737) 8: (0.345, 0.737) 9: (0.343, 0.737) 10: (0.341, 0.736) 11: (0.339, 0.736) 12: (0.337, 0.736) 13: (0.335, 0.736) 14: (0.333, 0.737) 15: (0.331, 0.736) 16: (0.329, 0.736) 17: (0.327, 0.737) 18: (0.325, 0.738) 19: (0.324, 0.737) 20: (0.325, 0.734)
show all 5 more points
21: (0.327, 0.732)
22: (0.329, 0.729)
23: (0.331, 0.729)
24: (0.333, 0.729)
25: (0.335, 0.729)
path 4 — 32 points —
1: (0.343, 0.759) 2: (0.345, 0.759) 3: (0.347, 0.760) 4: (0.349, 0.761) 5: (0.349, 0.763) 6: (0.349, 0.766) 7: (0.347, 0.768) 8: (0.346, 0.768) 9: (0.345, 0.771) 10: (0.343, 0.773) 11: (0.342, 0.773) 12: (0.341, 0.774) 13: (0.339, 0.775) 14: (0.337, 0.775) 15: (0.335, 0.775) 16: (0.333, 0.775) 17: (0.331, 0.775) 18: (0.329, 0.775) 19: (0.327, 0.776) 20: (0.326, 0.773)
show all 12 more points
21: (0.327, 0.771)
22: (0.328, 0.771)
23: (0.329, 0.769)
24: (0.331, 0.769)
25: (0.333, 0.769)
26: (0.335, 0.769)
27: (0.337, 0.768)
28: (0.339, 0.767)
29: (0.339, 0.766)
30: (0.339, 0.763)
31: (0.340, 0.761)
32: (0.341, 0.759)
path 5 — 4 points —
1: (0.671, 0.933) 2: (0.671, 0.935) 3: (0.669, 0.933) 4: (0.671, 0.932)
path 6 — 7 points —
1: (0.054, 0.994) 2: (0.056, 0.996) 3: (0.057, 0.999) 4: (0.056, 1.000) 5: (0.054, 1.000) 6: (0.053, 0.999) 7: (0.053, 0.996)
path 7 — 4 points —
1: (0.110, 0.967) 2: (0.108, 0.969) 3: (0.108, 0.967) 4: (0.108, 0.965)
path 8 — 4 points —
1: (0.728, 0.952) 2: (0.728, 0.953) 3: (0.727, 0.952) 4: (0.728, 0.952)
path 9 — 4 points —
1: (0.726, 0.933) 2: (0.726, 0.933) 3: (0.725, 0.933) 4: (0.726, 0.932)
path 10 — 9 points —
1: (0.708, 0.930) 2: (0.710, 0.932) 3: (0.711, 0.935) 4: (0.711, 0.938) 5: (0.710, 0.938) 6: (0.708, 0.938) 7: (0.706, 0.935) 8: (0.706, 0.933) 9: (0.706, 0.930)
path 11 — 10 points —
1: (0.109, 0.942) 2: (0.110, 0.945) 3: (0.110, 0.945) 4: (0.110, 0.947) 5: (0.110, 0.950) 6: (0.108, 0.950) 7: (0.108, 0.947) 8: (0.107, 0.945) 9: (0.108, 0.942) 10: (0.108, 0.942)
path 12 — 4 points —
1: (0.167, 0.871) 2: (0.168, 0.874) 3: (0.167, 0.876) 4: (0.166, 0.874)
path 13 — 19 points —
1: (0.725, 0.923) 2: (0.728, 0.924) 3: (0.729, 0.925) 4: (0.731, 0.926) 5: (0.733, 0.928) 6: (0.735, 0.930) 7: (0.736, 0.933) 8: (0.735, 0.933) 9: (0.733, 0.932) 10: (0.731, 0.931) 11: (0.730, 0.930) 12: (0.729, 0.930) 13: (0.728, 0.929) 14: (0.726, 0.928) 15: (0.726, 0.927) 16: (0.724, 0.925) 17: (0.724, 0.924) 18: (0.722, 0.923) 19: (0.724, 0.922)
path 14 — 11 points —
1: (0.111, 0.918) 2: (0.112, 0.920) 3: (0.112, 0.923) 4: (0.111, 0.925) 5: (0.110, 0.928) 6: (0.109, 0.925) 7: (0.108, 0.923) 8: (0.108, 0.920) 9: (0.108, 0.920) 10: (0.109, 0.918) 11: (0.110, 0.917)
path 15 — 19 points —
1: (0.673, 0.925) 2: (0.675, 0.925) 3: (0.677, 0.926) 4: (0.678, 0.928) 5: (0.679, 0.930) 6: (0.681, 0.932) 7: (0.682, 0.935) 8: (0.683, 0.937) 9: (0.683, 0.938) 10: (0.683, 0.938) 11: (0.682, 0.938) 12: (0.681, 0.937) 13: (0.679, 0.935) 14: (0.679, 0.933) 15: (0.677, 0.933) 16: (0.677, 0.932) 17: (0.675, 0.931) 18: (0.674, 0.930) 19: (0.673, 0.928)
path 16 — 4 points —
1: (0.642, 0.893) 2: (0.642, 0.896) 3: (0.642, 0.897) 4: (0.641, 0.896)
path 17 — 9 points —
1: (0.703, 0.933) 2: (0.704, 0.934) 3: (0.706, 0.935) 4: (0.704, 0.937) 5: (0.702, 0.935) 6: (0.702, 0.935) 7: (0.700, 0.933) 8: (0.700, 0.932) 9: (0.702, 0.932)
path 18 — 13 points —
1: (0.767, 0.888) 2: (0.767, 0.891) 3: (0.765, 0.892) 4: (0.763, 0.892) 5: (0.761, 0.891) 6: (0.761, 0.891) 7: (0.759, 0.890) 8: (0.757, 0.889) 9: (0.759, 0.887) 10: (0.761, 0.886) 11: (0.763, 0.886) 12: (0.765, 0.887) 13: (0.767, 0.888)
path 19 — 78 points —
1: (0.765, 0.896) 2: (0.767, 0.897) 3: (0.769, 0.897) 4: (0.771, 0.896) 5: (0.772, 0.896) 6: (0.774, 0.898) 7: (0.776, 0.898) 8: (0.778, 0.898) 9: (0.780, 0.901) 10: (0.778, 0.903) 11: (0.776, 0.903) 12: (0.774, 0.905) 13: (0.773, 0.906) 14: (0.774, 0.907) 15: (0.776, 0.906) 16: (0.777, 0.908) 17: (0.776, 0.909) 18: (0.776, 0.911) 19: (0.774, 0.913) 20: (0.772, 0.913)
show all 58 more points
21: (0.771, 0.913)
22: (0.769, 0.913)
23: (0.767, 0.913)
24: (0.769, 0.913)
25: (0.771, 0.913)
26: (0.771, 0.915)
27: (0.771, 0.917)
28: (0.769, 0.918)
29: (0.769, 0.920)
30: (0.771, 0.920)
31: (0.772, 0.923)
32: (0.774, 0.922)
33: (0.776, 0.922)
34: (0.778, 0.922)
35: (0.779, 0.923)
36: (0.776, 0.925)
37: (0.774, 0.927)
38: (0.772, 0.927)
39: (0.772, 0.928)
40: (0.771, 0.929)
41: (0.769, 0.929)
42: (0.767, 0.930)
43: (0.765, 0.930)
44: (0.765, 0.930)
45: (0.763, 0.930)
46: (0.763, 0.930)
47: (0.761, 0.930)
48: (0.759, 0.928)
49: (0.757, 0.927)
50: (0.755, 0.928)
51: (0.753, 0.927)
52: (0.751, 0.925)
53: (0.749, 0.923)
54: (0.751, 0.921)
55: (0.753, 0.921)
56: (0.755, 0.921)
57: (0.757, 0.921)
58: (0.759, 0.921)
59: (0.761, 0.920)
60: (0.759, 0.918)
61: (0.757, 0.918)
62: (0.759, 0.915)
63: (0.759, 0.913)
64: (0.758, 0.911)
65: (0.759, 0.910)
66: (0.761, 0.908)
67: (0.759, 0.906)
68: (0.757, 0.906)
69: (0.757, 0.905)
70: (0.755, 0.904)
71: (0.753, 0.904)
72: (0.751, 0.903)
73: (0.753, 0.901)
74: (0.755, 0.902)
75: (0.757, 0.901)
76: (0.759, 0.898)
77: (0.761, 0.896)
78: (0.763, 0.896)
path 20 — 3 points —
1: (0.782, 0.918) 2: (0.782, 0.918) 3: (0.782, 0.918)
path 21 — 12 points —
1: (0.112, 0.871) 2: (0.112, 0.874) 3: (0.112, 0.876) 4: (0.112, 0.879) 5: (0.111, 0.881) 6: (0.110, 0.883) 7: (0.110, 0.881) 8: (0.109, 0.879) 9: (0.108, 0.876) 10: (0.108, 0.874) 11: (0.108, 0.872) 12: (0.110, 0.869)
path 22 — 18 points —
1: (0.736, 0.911) 2: (0.737, 0.911) 3: (0.739, 0.911) 4: (0.741, 0.912) 5: (0.743, 0.913) 6: (0.743, 0.913) 7: (0.745, 0.915) 8: (0.743, 0.918) 9: (0.741, 0.916) 10: (0.739, 0.915) 11: (0.737, 0.914) 12: (0.735, 0.913) 13: (0.733, 0.912) 14: (0.731, 0.911) 15: (0.730, 0.911) 16: (0.731, 0.909) 17: (0.733, 0.909) 18: (0.735, 0.910)
path 23 — 14 points —
1: (0.112, 0.896) 2: (0.112, 0.898) 3: (0.112, 0.901) 4: (0.112, 0.903) 5: (0.111, 0.906) 6: (0.110, 0.908) 7: (0.110, 0.906) 8: (0.109, 0.903) 9: (0.108, 0.903) 10: (0.108, 0.901) 11: (0.107, 0.898) 12: (0.107, 0.896) 13: (0.108, 0.894) 14: (0.110, 0.894)
path 24 — 7 points —
1: (0.564, 0.847) 2: (0.565, 0.849) 3: (0.563, 0.851) 4: (0.562, 0.851) 5: (0.560, 0.849) 6: (0.560, 0.847) 7: (0.562, 0.845)
path 25 — 31 points —
1: (0.530, 0.881) 2: (0.531, 0.884) 3: (0.531, 0.886) 4: (0.530, 0.888) 5: (0.530, 0.891) 6: (0.529, 0.893) 7: (0.529, 0.896) 8: (0.529, 0.898) 9: (0.528, 0.900) 10: (0.527, 0.901) 11: (0.526, 0.902) 12: (0.525, 0.901) 13: (0.524, 0.900) 14: (0.522, 0.898) 15: (0.522, 0.896) 16: (0.522, 0.894) 17: (0.523, 0.893) 18: (0.522, 0.893) 19: (0.522, 0.891) 20: (0.522, 0.888)
show all 11 more points
21: (0.522, 0.886)
22: (0.522, 0.885)
23: (0.523, 0.886)
24: (0.524, 0.888)
25: (0.524, 0.889)
26: (0.526, 0.891)
27: (0.526, 0.893)
28: (0.527, 0.891)
29: (0.528, 0.888)
30: (0.528, 0.886)
31: (0.529, 0.884)
path 26 — 6 points —
1: (0.523, 0.876) 2: (0.523, 0.879) 3: (0.522, 0.880) 4: (0.521, 0.879) 5: (0.521, 0.876) 6: (0.522, 0.875)
path 27 — 4 points —
1: (0.220, 0.859) 2: (0.220, 0.861) 3: (0.218, 0.859) 4: (0.220, 0.858)
path 28 — 6 points —
1: (0.317, 0.803) 2: (0.315, 0.803) 3: (0.313, 0.803) 4: (0.313, 0.803) 5: (0.313, 0.803) 6: (0.315, 0.803)
path 29 — 4 points —
1: (0.372, 0.798) 2: (0.372, 0.800) 3: (0.372, 0.802) 4: (0.372, 0.800)
path 30 — 5 points —
1: (0.759, 0.854) 2: (0.761, 0.856) 3: (0.759, 0.857) 4: (0.758, 0.857) 5: (0.757, 0.855)
path 31 — 58 points —
1: (0.429, 0.790) 2: (0.429, 0.792) 3: (0.428, 0.793) 4: (0.429, 0.793) 5: (0.430, 0.795) 6: (0.429, 0.798) 7: (0.431, 0.800) 8: (0.430, 0.803) 9: (0.431, 0.804) 10: (0.433, 0.805) 11: (0.431, 0.808) 12: (0.433, 0.810) 13: (0.432, 0.812) 14: (0.433, 0.814) 15: (0.434, 0.815) 16: (0.433, 0.817) 17: (0.433, 0.820) 18: (0.433, 0.822) 19: (0.432, 0.825) 20: (0.431, 0.827)
show all 38 more points
21: (0.433, 0.829)
22: (0.433, 0.830)
23: (0.433, 0.831)
24: (0.432, 0.832)
25: (0.431, 0.835)
26: (0.431, 0.837)
27: (0.430, 0.839)
28: (0.430, 0.842)
29: (0.429, 0.844)
30: (0.429, 0.845)
31: (0.427, 0.844)
32: (0.426, 0.842)
33: (0.425, 0.840)
34: (0.424, 0.839)
35: (0.424, 0.837)
36: (0.423, 0.835)
37: (0.423, 0.832)
38: (0.423, 0.832)
39: (0.423, 0.830)
40: (0.422, 0.827)
41: (0.422, 0.825)
42: (0.422, 0.822)
43: (0.423, 0.820)
44: (0.424, 0.817)
45: (0.423, 0.815)
46: (0.425, 0.813)
47: (0.424, 0.810)
48: (0.424, 0.808)
49: (0.425, 0.807)
50: (0.426, 0.805)
51: (0.426, 0.803)
52: (0.426, 0.800)
53: (0.427, 0.798)
54: (0.428, 0.795)
55: (0.427, 0.794)
56: (0.426, 0.793)
57: (0.427, 0.790)
58: (0.429, 0.789)
path 32 — 6 points —
1: (0.782, 0.847) 2: (0.780, 0.848) 3: (0.778, 0.849) 4: (0.776, 0.847) 5: (0.778, 0.845) 6: (0.780, 0.845)
⊟Feature print (embedding)768-D · float
Fixed-length descriptor (image embedding). Used for similarity / dedup via cosine distance. Sparkline shows the first 64 of 768 dimensions.
first 8 values: 0.025,0.016,0.078,0.019,-0.008,0.044,0.033,-0.012
{} Raw JSON 14 capability runs · on-device
Every Vision pass auge ran on this image. Click a file to see the full, un-truncated output (vector embeddings, full landmark points, every contour point — exactly what auge produced):
Wikimedia source
Earthrise - Apollo 8, 24 December 1968
attention 1 · 55%
classify 1968 Public Domain (NASA work)

Earthrise - Apollo 8, 24 December 1968

Bill Anders's photograph of Earth rising over the Moon, taken from Apollo 8 on Christmas Eve 1968. The most-reproduced photo of Earth ever taken. Galen Rowell called it 'the most influential environmental photograph ever taken.'

$ auge --all earthrise.jpg
A OCR no text
No text detected in this image.
# Classify 10 labels
outdoor
58%
celestial_body
57%
moon
57%
night_sky
34%
sky
34%
structure
20%
rocks
20%
liquid
16%
water
16%
frozen
16%
▦ Barcodes none
No barcodes or QR codes detected.
☻ Faces 0 detected
No faces detected.
⨯Face landmarks0 faces
No faces detected, so no landmarks.
⌒Animals (cat/dog)0 detected
No cats or dogs detected by VNRecognizeAnimalsRequest. (The recognizer is conservative — paintings, distant or partial subjects often score below threshold.)
🐾Animal pose0 animals
No animal body poses detected.
⩎Body pose0 bodies
No human body poses detected.
✋Hand pose0 hands
No hands detected.
★Aesthetics0.647
memorable
overallScore range −1.00 utility → +1.00 memorable · 82.4% along scale
●Lens smudge0.06%
clean lens
confidence 0.0006089210510253906 · 0% clean · 100% smudged
◉Saliency · attention1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 54.5% confidence — bbox=(0.292, 0.132, 0.453, 0.607)
◉Saliency · objectness1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 35.8% confidence — bbox=(0.481, 0.413, 0.162, 0.134)
▱Quadrilaterals0 detected
No four-cornered shapes found.
▭Text regions0 detected
No text regions detected by the cheap probe.
⏤Horizon5.25°
5.25° tilted
0.0916 rad · red line drawn on image above · the small preview is rotated by -5.25° to make the horizon level.
rotated to level horizon
corrected (rotated by -5.25°) — the red dotted line is true horizontal.
∿Contours145 total · 1 top-level
Vector edge contours of detected shapes. 1 path drawn on the image above (sampled from top-level).
path 1 — 2048 points —
1: (1.000, 0.001) 2: (1.000, 0.003) 3: (1.000, 0.005) 4: (1.000, 0.007) 5: (1.000, 0.009) 6: (1.000, 0.011) 7: (1.000, 0.013) 8: (1.000, 0.015) 9: (1.000, 0.017) 10: (1.000, 0.019) 11: (1.000, 0.021) 12: (1.000, 0.022) 13: (1.000, 0.024) 14: (1.000, 0.026) 15: (1.000, 0.028) 16: (1.000, 0.030) 17: (1.000, 0.032) 18: (1.000, 0.034) 19: (1.000, 0.036) 20: (1.000, 0.038)
show all 2028 more points
21: (1.000, 0.040)
22: (1.000, 0.042)
23: (1.000, 0.044)
24: (1.000, 0.046)
25: (1.000, 0.048)
26: (1.000, 0.050)
27: (1.000, 0.052)
28: (1.000, 0.054)
29: (1.000, 0.056)
30: (1.000, 0.058)
31: (1.000, 0.060)
32: (1.000, 0.062)
33: (1.000, 0.063)
34: (1.000, 0.065)
35: (1.000, 0.067)
36: (1.000, 0.069)
37: (1.000, 0.071)
38: (1.000, 0.073)
39: (1.000, 0.075)
40: (1.000, 0.077)
41: (1.000, 0.079)
42: (1.000, 0.081)
43: (1.000, 0.083)
44: (1.000, 0.085)
45: (1.000, 0.087)
46: (1.000, 0.089)
47: (1.000, 0.091)
48: (1.000, 0.093)
49: (1.000, 0.095)
50: (1.000, 0.097)
51: (1.000, 0.099)
52: (1.000, 0.101)
53: (1.000, 0.103)
54: (1.000, 0.104)
55: (1.000, 0.106)
56: (1.000, 0.108)
57: (1.000, 0.110)
58: (1.000, 0.112)
59: (1.000, 0.114)
60: (1.000, 0.116)
61: (1.000, 0.118)
62: (1.000, 0.120)
63: (1.000, 0.122)
64: (1.000, 0.124)
65: (1.000, 0.126)
66: (1.000, 0.128)
67: (1.000, 0.130)
68: (1.000, 0.132)
69: (1.000, 0.134)
70: (1.000, 0.136)
71: (1.000, 0.138)
72: (1.000, 0.140)
73: (1.000, 0.142)
74: (1.000, 0.144)
75: (1.000, 0.146)
76: (1.000, 0.147)
77: (1.000, 0.149)
78: (1.000, 0.151)
79: (1.000, 0.153)
80: (1.000, 0.155)
81: (1.000, 0.157)
82: (1.000, 0.159)
83: (1.000, 0.161)
84: (1.000, 0.163)
85: (1.000, 0.165)
86: (1.000, 0.167)
87: (1.000, 0.169)
88: (1.000, 0.171)
89: (1.000, 0.173)
90: (1.000, 0.175)
91: (1.000, 0.177)
92: (1.000, 0.179)
93: (1.000, 0.181)
94: (1.000, 0.183)
95: (1.000, 0.185)
96: (1.000, 0.187)
97: (1.000, 0.188)
98: (1.000, 0.190)
99: (1.000, 0.192)
100: (1.000, 0.194)
101: (1.000, 0.196)
102: (1.000, 0.198)
103: (1.000, 0.200)
104: (1.000, 0.202)
105: (1.000, 0.204)
106: (1.000, 0.206)
107: (1.000, 0.208)
108: (1.000, 0.210)
109: (1.000, 0.212)
110: (1.000, 0.214)
111: (1.000, 0.216)
112: (1.000, 0.218)
113: (1.000, 0.220)
114: (1.000, 0.222)
115: (1.000, 0.224)
116: (1.000, 0.226)
117: (1.000, 0.228)
118: (1.000, 0.229)
119: (1.000, 0.231)
120: (1.000, 0.233)
121: (1.000, 0.235)
122: (1.000, 0.237)
123: (1.000, 0.239)
124: (1.000, 0.241)
125: (1.000, 0.243)
126: (1.000, 0.245)
127: (1.000, 0.247)
128: (1.000, 0.249)
129: (1.000, 0.251)
130: (1.000, 0.253)
131: (1.000, 0.255)
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1341: (0.000, 0.382)
1342: (0.000, 0.380)
1343: (0.000, 0.378)
1344: (0.000, 0.376)
1345: (0.000, 0.374)
1346: (0.000, 0.372)
1347: (0.000, 0.370)
1348: (0.000, 0.368)
1349: (0.000, 0.366)
1350: (0.000, 0.364)
1351: (0.000, 0.362)
1352: (0.000, 0.360)
1353: (0.000, 0.358)
1354: (0.000, 0.356)
1355: (0.000, 0.354)
1356: (0.000, 0.353)
1357: (0.000, 0.351)
1358: (0.000, 0.349)
1359: (0.000, 0.347)
1360: (0.000, 0.345)
1361: (0.000, 0.343)
1362: (0.000, 0.341)
1363: (0.000, 0.339)
1364: (0.000, 0.337)
1365: (0.000, 0.335)
1366: (0.000, 0.333)
1367: (0.000, 0.331)
1368: (0.000, 0.329)
1369: (0.000, 0.327)
1370: (0.000, 0.325)
1371: (0.000, 0.323)
1372: (0.000, 0.321)
1373: (0.000, 0.319)
1374: (0.000, 0.317)
1375: (0.000, 0.315)
1376: (0.000, 0.313)
1377: (0.000, 0.312)
1378: (0.000, 0.310)
1379: (0.000, 0.308)
1380: (0.000, 0.306)
1381: (0.000, 0.304)
1382: (0.000, 0.302)
1383: (0.000, 0.300)
1384: (0.000, 0.298)
1385: (0.000, 0.296)
1386: (0.000, 0.294)
1387: (0.000, 0.292)
1388: (0.000, 0.290)
1389: (0.000, 0.288)
1390: (0.000, 0.286)
1391: (0.000, 0.284)
1392: (0.000, 0.282)
1393: (0.000, 0.280)
1394: (0.000, 0.278)
1395: (0.000, 0.276)
1396: (0.000, 0.274)
1397: (0.000, 0.272)
1398: (0.000, 0.271)
1399: (0.000, 0.269)
1400: (0.000, 0.267)
1401: (0.000, 0.265)
1402: (0.000, 0.263)
1403: (0.001, 0.261)
1404: (0.001, 0.259)
1405: (0.000, 0.257)
1406: (0.000, 0.255)
1407: (0.000, 0.253)
1408: (0.000, 0.251)
1409: (0.000, 0.249)
1410: (0.001, 0.247)
1411: (0.000, 0.245)
1412: (0.000, 0.243)
1413: (0.000, 0.241)
1414: (0.000, 0.239)
1415: (0.000, 0.237)
1416: (0.000, 0.235)
1417: (0.000, 0.233)
1418: (0.000, 0.231)
1419: (0.000, 0.229)
1420: (0.000, 0.228)
1421: (0.000, 0.226)
1422: (0.000, 0.224)
1423: (0.000, 0.222)
1424: (0.000, 0.220)
1425: (0.000, 0.218)
1426: (0.000, 0.216)
1427: (0.000, 0.214)
1428: (0.000, 0.212)
1429: (0.000, 0.210)
1430: (0.000, 0.208)
1431: (0.000, 0.206)
1432: (0.000, 0.204)
1433: (0.000, 0.202)
1434: (0.000, 0.200)
1435: (0.000, 0.198)
1436: (0.000, 0.196)
1437: (0.000, 0.194)
1438: (0.000, 0.192)
1439: (0.000, 0.190)
1440: (0.000, 0.188)
1441: (0.000, 0.187)
1442: (0.000, 0.185)
1443: (0.000, 0.183)
1444: (0.000, 0.181)
1445: (0.000, 0.179)
1446: (0.000, 0.177)
1447: (0.000, 0.175)
1448: (0.000, 0.173)
1449: (0.000, 0.171)
1450: (0.000, 0.169)
1451: (0.000, 0.167)
1452: (0.000, 0.165)
1453: (0.000, 0.163)
1454: (0.000, 0.161)
1455: (0.000, 0.159)
1456: (0.000, 0.157)
1457: (0.000, 0.155)
1458: (0.001, 0.153)
1459: (0.001, 0.151)
1460: (0.001, 0.149)
1461: (0.000, 0.147)
1462: (0.000, 0.146)
1463: (0.000, 0.144)
1464: (0.000, 0.142)
1465: (0.000, 0.140)
1466: (0.000, 0.138)
1467: (0.000, 0.136)
1468: (0.000, 0.134)
1469: (0.000, 0.132)
1470: (0.000, 0.130)
1471: (0.000, 0.128)
1472: (0.000, 0.126)
1473: (0.000, 0.124)
1474: (0.000, 0.122)
1475: (0.000, 0.120)
1476: (0.000, 0.118)
1477: (0.000, 0.116)
1478: (0.000, 0.114)
1479: (0.000, 0.112)
1480: (0.000, 0.110)
1481: (0.000, 0.108)
1482: (0.000, 0.106)
1483: (0.000, 0.104)
1484: (0.000, 0.103)
1485: (0.000, 0.101)
1486: (0.000, 0.099)
1487: (0.000, 0.097)
1488: (0.000, 0.095)
1489: (0.000, 0.093)
1490: (0.000, 0.091)
1491: (0.000, 0.089)
1492: (0.000, 0.087)
1493: (0.000, 0.085)
1494: (0.000, 0.083)
1495: (0.000, 0.081)
1496: (0.000, 0.079)
1497: (0.000, 0.077)
1498: (0.000, 0.075)
1499: (0.000, 0.073)
1500: (0.000, 0.071)
1501: (0.000, 0.069)
1502: (0.000, 0.067)
1503: (0.000, 0.065)
1504: (0.000, 0.063)
1505: (0.000, 0.062)
1506: (0.000, 0.060)
1507: (0.000, 0.058)
1508: (0.000, 0.056)
1509: (0.000, 0.054)
1510: (0.000, 0.052)
1511: (0.000, 0.050)
1512: (0.000, 0.048)
1513: (0.000, 0.046)
1514: (0.000, 0.044)
1515: (0.000, 0.042)
1516: (0.000, 0.040)
1517: (0.000, 0.038)
1518: (0.000, 0.036)
1519: (0.000, 0.034)
1520: (0.000, 0.032)
1521: (0.000, 0.030)
1522: (0.000, 0.028)
1523: (0.000, 0.026)
1524: (0.000, 0.024)
1525: (0.000, 0.022)
1526: (0.000, 0.021)
1527: (0.000, 0.019)
1528: (0.000, 0.017)
1529: (0.000, 0.015)
1530: (0.000, 0.013)
1531: (0.000, 0.011)
1532: (0.000, 0.009)
1533: (0.000, 0.007)
1534: (0.000, 0.005)
1535: (0.000, 0.003)
1536: (0.000, 0.001)
1537: (0.001, 0.000)
1538: (0.003, 0.000)
1539: (0.005, 0.000)
1540: (0.007, 0.000)
1541: (0.009, 0.000)
1542: (0.011, 0.000)
1543: (0.013, 0.000)
1544: (0.015, 0.000)
1545: (0.017, 0.000)
1546: (0.019, 0.000)
1547: (0.021, 0.000)
1548: (0.022, 0.000)
1549: (0.024, 0.000)
1550: (0.026, 0.000)
1551: (0.028, 0.000)
1552: (0.030, 0.000)
1553: (0.032, 0.000)
1554: (0.034, 0.000)
1555: (0.036, 0.000)
1556: (0.038, 0.000)
1557: (0.040, 0.000)
1558: (0.042, 0.000)
1559: (0.044, 0.000)
1560: (0.046, 0.000)
1561: (0.048, 0.000)
1562: (0.050, 0.000)
1563: (0.052, 0.000)
1564: (0.054, 0.000)
1565: (0.056, 0.000)
1566: (0.058, 0.000)
1567: (0.060, 0.000)
1568: (0.062, 0.000)
1569: (0.063, 0.000)
1570: (0.065, 0.000)
1571: (0.067, 0.000)
1572: (0.069, 0.000)
1573: (0.071, 0.000)
1574: (0.073, 0.000)
1575: (0.075, 0.000)
1576: (0.077, 0.000)
1577: (0.079, 0.000)
1578: (0.081, 0.000)
1579: (0.083, 0.000)
1580: (0.085, 0.000)
1581: (0.087, 0.000)
1582: (0.089, 0.000)
1583: (0.091, 0.000)
1584: (0.093, 0.000)
1585: (0.095, 0.000)
1586: (0.097, 0.000)
1587: (0.099, 0.000)
1588: (0.101, 0.000)
1589: (0.103, 0.000)
1590: (0.104, 0.000)
1591: (0.106, 0.000)
1592: (0.108, 0.000)
1593: (0.110, 0.000)
1594: (0.112, 0.000)
1595: (0.114, 0.000)
1596: (0.116, 0.000)
1597: (0.118, 0.000)
1598: (0.120, 0.000)
1599: (0.122, 0.000)
1600: (0.124, 0.000)
1601: (0.126, 0.000)
1602: (0.128, 0.000)
1603: (0.130, 0.000)
1604: (0.132, 0.000)
1605: (0.134, 0.000)
1606: (0.136, 0.000)
1607: (0.138, 0.000)
1608: (0.140, 0.000)
1609: (0.142, 0.000)
1610: (0.144, 0.000)
1611: (0.146, 0.000)
1612: (0.147, 0.000)
1613: (0.149, 0.000)
1614: (0.151, 0.000)
1615: (0.153, 0.000)
1616: (0.155, 0.000)
1617: (0.157, 0.000)
1618: (0.159, 0.000)
1619: (0.161, 0.000)
1620: (0.163, 0.000)
1621: (0.165, 0.000)
1622: (0.167, 0.000)
1623: (0.169, 0.000)
1624: (0.171, 0.000)
1625: (0.173, 0.000)
1626: (0.175, 0.000)
1627: (0.177, 0.000)
1628: (0.179, 0.000)
1629: (0.181, 0.000)
1630: (0.183, 0.000)
1631: (0.185, 0.000)
1632: (0.187, 0.000)
1633: (0.188, 0.000)
1634: (0.190, 0.000)
1635: (0.192, 0.000)
1636: (0.194, 0.000)
1637: (0.196, 0.000)
1638: (0.198, 0.000)
1639: (0.200, 0.000)
1640: (0.202, 0.000)
1641: (0.204, 0.000)
1642: (0.206, 0.000)
1643: (0.208, 0.000)
1644: (0.210, 0.000)
1645: (0.212, 0.000)
1646: (0.214, 0.000)
1647: (0.216, 0.000)
1648: (0.218, 0.000)
1649: (0.220, 0.000)
1650: (0.222, 0.000)
1651: (0.224, 0.000)
1652: (0.226, 0.000)
1653: (0.228, 0.000)
1654: (0.229, 0.000)
1655: (0.231, 0.000)
1656: (0.233, 0.000)
1657: (0.235, 0.000)
1658: (0.237, 0.000)
1659: (0.239, 0.000)
1660: (0.241, 0.000)
1661: (0.243, 0.000)
1662: (0.245, 0.000)
1663: (0.247, 0.000)
1664: (0.249, 0.000)
1665: (0.251, 0.000)
1666: (0.253, 0.000)
1667: (0.255, 0.000)
1668: (0.257, 0.000)
1669: (0.259, 0.000)
1670: (0.261, 0.000)
1671: (0.263, 0.000)
1672: (0.265, 0.000)
1673: (0.267, 0.000)
1674: (0.269, 0.000)
1675: (0.271, 0.000)
1676: (0.272, 0.000)
1677: (0.274, 0.000)
1678: (0.276, 0.000)
1679: (0.278, 0.000)
1680: (0.280, 0.000)
1681: (0.282, 0.000)
1682: (0.284, 0.000)
1683: (0.286, 0.000)
1684: (0.288, 0.000)
1685: (0.290, 0.000)
1686: (0.292, 0.000)
1687: (0.294, 0.000)
1688: (0.296, 0.000)
1689: (0.298, 0.000)
1690: (0.300, 0.000)
1691: (0.302, 0.000)
1692: (0.304, 0.000)
1693: (0.306, 0.000)
1694: (0.308, 0.000)
1695: (0.310, 0.000)
1696: (0.312, 0.000)
1697: (0.313, 0.000)
1698: (0.315, 0.000)
1699: (0.317, 0.000)
1700: (0.319, 0.000)
1701: (0.321, 0.000)
1702: (0.323, 0.000)
1703: (0.325, 0.000)
1704: (0.327, 0.000)
1705: (0.329, 0.000)
1706: (0.331, 0.000)
1707: (0.333, 0.000)
1708: (0.335, 0.000)
1709: (0.337, 0.000)
1710: (0.339, 0.000)
1711: (0.341, 0.000)
1712: (0.343, 0.000)
1713: (0.345, 0.000)
1714: (0.347, 0.000)
1715: (0.349, 0.000)
1716: (0.351, 0.000)
1717: (0.353, 0.000)
1718: (0.354, 0.000)
1719: (0.356, 0.000)
1720: (0.358, 0.000)
1721: (0.360, 0.000)
1722: (0.362, 0.000)
1723: (0.364, 0.000)
1724: (0.366, 0.000)
1725: (0.368, 0.000)
1726: (0.370, 0.000)
1727: (0.372, 0.000)
1728: (0.374, 0.000)
1729: (0.376, 0.000)
1730: (0.378, 0.000)
1731: (0.380, 0.000)
1732: (0.382, 0.000)
1733: (0.384, 0.000)
1734: (0.386, 0.000)
1735: (0.388, 0.000)
1736: (0.390, 0.000)
1737: (0.392, 0.000)
1738: (0.394, 0.000)
1739: (0.396, 0.000)
1740: (0.397, 0.000)
1741: (0.399, 0.000)
1742: (0.401, 0.000)
1743: (0.403, 0.000)
1744: (0.405, 0.000)
1745: (0.407, 0.000)
1746: (0.409, 0.000)
1747: (0.411, 0.000)
1748: (0.413, 0.000)
1749: (0.415, 0.000)
1750: (0.417, 0.000)
1751: (0.419, 0.000)
1752: (0.421, 0.000)
1753: (0.423, 0.000)
1754: (0.425, 0.000)
1755: (0.427, 0.000)
1756: (0.429, 0.000)
1757: (0.431, 0.000)
1758: (0.433, 0.000)
1759: (0.435, 0.000)
1760: (0.437, 0.000)
1761: (0.438, 0.000)
1762: (0.440, 0.000)
1763: (0.442, 0.000)
1764: (0.444, 0.000)
1765: (0.446, 0.000)
1766: (0.448, 0.000)
1767: (0.450, 0.000)
1768: (0.452, 0.000)
1769: (0.454, 0.000)
1770: (0.456, 0.000)
1771: (0.458, 0.000)
1772: (0.460, 0.000)
1773: (0.462, 0.000)
1774: (0.464, 0.000)
1775: (0.466, 0.000)
1776: (0.468, 0.000)
1777: (0.470, 0.000)
1778: (0.472, 0.000)
1779: (0.474, 0.000)
1780: (0.476, 0.000)
1781: (0.478, 0.000)
1782: (0.479, 0.000)
1783: (0.481, 0.000)
1784: (0.483, 0.000)
1785: (0.485, 0.000)
1786: (0.487, 0.000)
1787: (0.489, 0.000)
1788: (0.491, 0.000)
1789: (0.493, 0.000)
1790: (0.495, 0.000)
1791: (0.497, 0.000)
1792: (0.499, 0.000)
1793: (0.501, 0.000)
1794: (0.503, 0.000)
1795: (0.505, 0.000)
1796: (0.507, 0.000)
1797: (0.509, 0.000)
1798: (0.511, 0.000)
1799: (0.513, 0.000)
1800: (0.515, 0.000)
1801: (0.517, 0.000)
1802: (0.519, 0.000)
1803: (0.521, 0.000)
1804: (0.522, 0.000)
1805: (0.524, 0.000)
1806: (0.526, 0.000)
1807: (0.528, 0.000)
1808: (0.530, 0.000)
1809: (0.532, 0.000)
1810: (0.534, 0.000)
1811: (0.536, 0.000)
1812: (0.538, 0.000)
1813: (0.540, 0.000)
1814: (0.542, 0.000)
1815: (0.544, 0.000)
1816: (0.546, 0.000)
1817: (0.548, 0.000)
1818: (0.550, 0.000)
1819: (0.552, 0.000)
1820: (0.554, 0.000)
1821: (0.556, 0.000)
1822: (0.558, 0.000)
1823: (0.560, 0.000)
1824: (0.562, 0.000)
1825: (0.563, 0.000)
1826: (0.565, 0.000)
1827: (0.567, 0.000)
1828: (0.569, 0.000)
1829: (0.571, 0.000)
1830: (0.573, 0.000)
1831: (0.575, 0.000)
1832: (0.577, 0.000)
1833: (0.579, 0.000)
1834: (0.581, 0.000)
1835: (0.583, 0.000)
1836: (0.585, 0.000)
1837: (0.587, 0.000)
1838: (0.589, 0.000)
1839: (0.591, 0.000)
1840: (0.593, 0.000)
1841: (0.595, 0.000)
1842: (0.597, 0.000)
1843: (0.599, 0.000)
1844: (0.601, 0.000)
1845: (0.603, 0.000)
1846: (0.604, 0.000)
1847: (0.606, 0.000)
1848: (0.608, 0.000)
1849: (0.610, 0.000)
1850: (0.612, 0.000)
1851: (0.614, 0.000)
1852: (0.616, 0.000)
1853: (0.618, 0.000)
1854: (0.620, 0.000)
1855: (0.622, 0.000)
1856: (0.624, 0.000)
1857: (0.626, 0.000)
1858: (0.628, 0.000)
1859: (0.630, 0.000)
1860: (0.632, 0.000)
1861: (0.634, 0.000)
1862: (0.636, 0.000)
1863: (0.638, 0.000)
1864: (0.640, 0.000)
1865: (0.642, 0.000)
1866: (0.644, 0.000)
1867: (0.646, 0.000)
1868: (0.647, 0.000)
1869: (0.649, 0.000)
1870: (0.651, 0.000)
1871: (0.653, 0.000)
1872: (0.655, 0.000)
1873: (0.657, 0.000)
1874: (0.659, 0.000)
1875: (0.661, 0.000)
1876: (0.663, 0.000)
1877: (0.665, 0.000)
1878: (0.667, 0.000)
1879: (0.669, 0.000)
1880: (0.671, 0.000)
1881: (0.673, 0.000)
1882: (0.675, 0.000)
1883: (0.677, 0.000)
1884: (0.679, 0.000)
1885: (0.681, 0.000)
1886: (0.683, 0.000)
1887: (0.685, 0.000)
1888: (0.687, 0.000)
1889: (0.688, 0.000)
1890: (0.690, 0.000)
1891: (0.692, 0.000)
1892: (0.694, 0.000)
1893: (0.696, 0.000)
1894: (0.698, 0.000)
1895: (0.700, 0.000)
1896: (0.702, 0.000)
1897: (0.704, 0.000)
1898: (0.706, 0.000)
1899: (0.708, 0.000)
1900: (0.710, 0.000)
1901: (0.712, 0.000)
1902: (0.714, 0.000)
1903: (0.716, 0.000)
1904: (0.718, 0.000)
1905: (0.720, 0.000)
1906: (0.722, 0.000)
1907: (0.724, 0.000)
1908: (0.726, 0.000)
1909: (0.728, 0.000)
1910: (0.729, 0.000)
1911: (0.731, 0.000)
1912: (0.733, 0.000)
1913: (0.735, 0.000)
1914: (0.737, 0.000)
1915: (0.739, 0.000)
1916: (0.741, 0.000)
1917: (0.743, 0.000)
1918: (0.745, 0.000)
1919: (0.747, 0.000)
1920: (0.749, 0.000)
1921: (0.751, 0.000)
1922: (0.753, 0.000)
1923: (0.755, 0.000)
1924: (0.757, 0.000)
1925: (0.759, 0.000)
1926: (0.761, 0.000)
1927: (0.763, 0.000)
1928: (0.765, 0.000)
1929: (0.767, 0.000)
1930: (0.769, 0.000)
1931: (0.771, 0.000)
1932: (0.772, 0.000)
1933: (0.774, 0.000)
1934: (0.776, 0.000)
1935: (0.778, 0.000)
1936: (0.780, 0.000)
1937: (0.782, 0.000)
1938: (0.784, 0.000)
1939: (0.786, 0.000)
1940: (0.788, 0.000)
1941: (0.790, 0.000)
1942: (0.792, 0.000)
1943: (0.794, 0.000)
1944: (0.796, 0.000)
1945: (0.798, 0.000)
1946: (0.800, 0.000)
1947: (0.802, 0.000)
1948: (0.804, 0.000)
1949: (0.806, 0.000)
1950: (0.808, 0.000)
1951: (0.810, 0.000)
1952: (0.812, 0.000)
1953: (0.813, 0.000)
1954: (0.815, 0.000)
1955: (0.817, 0.000)
1956: (0.819, 0.000)
1957: (0.821, 0.000)
1958: (0.823, 0.000)
1959: (0.825, 0.000)
1960: (0.827, 0.000)
1961: (0.829, 0.000)
1962: (0.831, 0.000)
1963: (0.833, 0.000)
1964: (0.835, 0.000)
1965: (0.837, 0.000)
1966: (0.839, 0.000)
1967: (0.841, 0.000)
1968: (0.843, 0.000)
1969: (0.845, 0.000)
1970: (0.847, 0.000)
1971: (0.849, 0.000)
1972: (0.851, 0.000)
1973: (0.853, 0.000)
1974: (0.854, 0.000)
1975: (0.856, 0.000)
1976: (0.858, 0.000)
1977: (0.860, 0.000)
1978: (0.862, 0.000)
1979: (0.864, 0.000)
1980: (0.866, 0.000)
1981: (0.868, 0.000)
1982: (0.870, 0.000)
1983: (0.872, 0.000)
1984: (0.874, 0.000)
1985: (0.876, 0.000)
1986: (0.878, 0.000)
1987: (0.880, 0.000)
1988: (0.882, 0.000)
1989: (0.884, 0.000)
1990: (0.886, 0.000)
1991: (0.888, 0.000)
1992: (0.890, 0.000)
1993: (0.892, 0.000)
1994: (0.894, 0.000)
1995: (0.896, 0.000)
1996: (0.897, 0.000)
1997: (0.899, 0.000)
1998: (0.901, 0.000)
1999: (0.903, 0.000)
2000: (0.905, 0.000)
2001: (0.907, 0.000)
2002: (0.909, 0.000)
2003: (0.911, 0.000)
2004: (0.913, 0.000)
2005: (0.915, 0.000)
2006: (0.917, 0.000)
2007: (0.919, 0.000)
2008: (0.921, 0.000)
2009: (0.923, 0.000)
2010: (0.925, 0.000)
2011: (0.927, 0.000)
2012: (0.929, 0.000)
2013: (0.931, 0.000)
2014: (0.933, 0.000)
2015: (0.935, 0.000)
2016: (0.937, 0.000)
2017: (0.938, 0.000)
2018: (0.940, 0.000)
2019: (0.942, 0.000)
2020: (0.944, 0.000)
2021: (0.946, 0.000)
2022: (0.948, 0.000)
2023: (0.950, 0.000)
2024: (0.952, 0.000)
2025: (0.954, 0.000)
2026: (0.956, 0.000)
2027: (0.958, 0.000)
2028: (0.960, 0.000)
2029: (0.962, 0.000)
2030: (0.964, 0.000)
2031: (0.966, 0.000)
2032: (0.968, 0.000)
2033: (0.970, 0.000)
2034: (0.972, 0.000)
2035: (0.974, 0.000)
2036: (0.976, 0.000)
2037: (0.978, 0.000)
2038: (0.979, 0.000)
2039: (0.981, 0.000)
2040: (0.983, 0.000)
2041: (0.985, 0.000)
2042: (0.987, 0.000)
2043: (0.989, 0.000)
2044: (0.991, 0.000)
2045: (0.993, 0.000)
2046: (0.995, 0.000)
2047: (0.997, 0.000)
2048: (0.999, 0.000)
⊟Feature print (embedding)768-D · float
Fixed-length descriptor (image embedding). Used for similarity / dedup via cosine distance. Sparkline shows the first 64 of 768 dimensions.
first 8 values: -0.021,0.029,-0.052,0.073,0.004,0.133,-0.002,0.004
{} Raw JSON 14 capability runs · on-device
Every Vision pass auge ran on this image. Click a file to see the full, un-truncated output (vector embeddings, full landmark points, every contour point — exactly what auge produced):
Wikimedia source
Banquet of the Officers of the St Hadrian Civic Guard - Frans Hals
attention 1 · 65%
face 1
face 2
face 3
face 4
face 5
face 6
face 7
face 8
face 9
face 10
face 11
faces 1627 Public Domain (Hals died 1666)

Banquet of the Officers of the St Hadrian Civic Guard - Frans Hals

Twelve officers at a banquet, Haarlem 1627. Frans Hals founded the Dutch group portrait genre - eyes alive, faces individual. A perfect multi-face benchmark.

$ auge --all hals-banquet.jpg
A OCR no text
No text detected in this image.
# Classify 10 labels
art
84%
painting
84%
people
83%
adult
82%
material
55%
textile
55%
crowd
40%
structure
33%
conveyance
33%
portal
33%
▦ Barcodes none
No barcodes or QR codes detected.
☻ Faces 11 detected
11 faces located. Bounding boxes overlaid on the image above.
face 1: x=0.102 y=0.641 w=0.054 h=0.078
face 2: x=0.253 y=0.614 w=0.046 h=0.067
face 3: x=0.426 y=0.429 w=0.049 h=0.072
face 4: x=0.861 y=0.440 w=0.050 h=0.072
face 5: x=0.592 y=0.624 w=0.039 h=0.057
face 6: x=0.575 y=0.421 w=0.047 h=0.068
face 7: x=0.739 y=0.422 w=0.051 h=0.074
face 8: x=0.401 y=0.555 w=0.040 h=0.058
face 9: x=0.858 y=0.636 w=0.049 h=0.071
face 10: x=0.254 y=0.432 w=0.044 h=0.064
face 11: x=0.689 y=0.694 w=0.044 h=0.064
⨯Face landmarks10 faces · 76 pts each
Per-face roll / yaw / pitch (head pose) and ~76 anchor points (eyes, brows, nose, lips, jawline, pupils). Points drawn on the image above.
face 1 — bbox=(0.862, 0.441, 0.049, 0.071) — pose not reported
faceContour 17 pts (0.953, 0.780), (0.964, 0.656), (0.965, 0.525), (0.947, 0.396), (0.906, 0.274), (0.837, 0.167), (0.751, 0.078), (0.649, 0.014), (0.528, -0.018), (0.416, -0.003), (0.320, 0.049), (0.241, 0.124), (0.181, 0.217), (0.136, 0.321), (0.096, 0.428), (0.072, 0.542), (0.060, 0.649)
innerLips 6 pts (0.407, 0.239), (0.476, 0.246), (0.555, 0.255), (0.561, 0.236), (0.485, 0.219), (0.412, 0.216)
leftEye 6 pts (0.146, 0.692), (0.194, 0.724), (0.270, 0.723), (0.322, 0.696), (0.267, 0.677), (0.194, 0.672)
leftEyebrow 6 pts (0.081, 0.810), (0.196, 0.858), (0.324, 0.854), (0.323, 0.804), (0.201, 0.808), (0.088, 0.777)
leftPupil 1 pt (0.209, 0.707)
medianLine 10 pts (0.431, 0.733), (0.436, 0.642), (0.440, 0.549), (0.444, 0.459), (0.462, 0.380), (0.472, 0.303), (0.476, 0.246), (0.485, 0.219), (0.492, 0.150), (0.528, -0.018)
nose 8 pts (0.436, 0.642), (0.366, 0.480), (0.369, 0.384), (0.415, 0.382), (0.462, 0.380), (0.512, 0.396), (0.561, 0.410), (0.543, 0.505)
noseCrest 6 pts (0.431, 0.733), (0.436, 0.642), (0.440, 0.549), (0.444, 0.459), (0.382, 0.421), (0.525, 0.444)
outerLips 14 pts (0.340, 0.265), (0.383, 0.292), (0.430, 0.307), (0.472, 0.303), (0.513, 0.313), (0.569, 0.309), (0.619, 0.293), (0.661, 0.270), (0.622, 0.212), (0.562, 0.170), (0.492, 0.150), (0.421, 0.151), (0.356, 0.182), (0.312, 0.231)
rightEye 6 pts (0.729, 0.754), (0.672, 0.774), (0.592, 0.761), (0.550, 0.721), (0.605, 0.715), (0.681, 0.725)
rightEyebrow 6 pts (0.790, 0.894), (0.652, 0.911), (0.516, 0.875), (0.528, 0.824), (0.656, 0.859), (0.787, 0.861)
rightPupil 1 pt (0.622, 0.749)
face 2 — bbox=(0.253, 0.613, 0.046, 0.067) — pose not reported
faceContour 17 pts (0.787, 0.538), (0.745, 0.443), (0.696, 0.351), (0.634, 0.266), (0.561, 0.191), (0.482, 0.124), (0.405, 0.063), (0.331, 0.007), (0.240, -0.015), (0.097, 0.078), (-0.015, 0.199), (-0.104, 0.336), (-0.165, 0.485), (-0.176, 0.648), (-0.128, 0.809), (-0.056, 0.961), (0.016, 1.102)
innerLips 6 pts (0.394, 0.330), (0.467, 0.277), (0.488, 0.256), (0.470, 0.232), (0.443, 0.245), (0.377, 0.304)
leftEye 6 pts (0.456, 0.847), (0.503, 0.837), (0.562, 0.794), (0.573, 0.742), (0.532, 0.762), (0.482, 0.807)
leftEyebrow 6 pts (0.459, 0.999), (0.610, 0.969), (0.728, 0.865), (0.691, 0.820), (0.584, 0.918), (0.450, 0.967)
leftPupil 1 pt (0.533, 0.798)
medianLine 10 pts (0.699, 0.689), (0.681, 0.602), (0.667, 0.512), (0.650, 0.425), (0.539, 0.386), (0.491, 0.316), (0.467, 0.277), (0.443, 0.245), (0.414, 0.198), (0.240, -0.015)
nose 8 pts (0.681, 0.602), (0.520, 0.561), (0.462, 0.471), (0.504, 0.433), (0.539, 0.386), (0.565, 0.374), (0.587, 0.362), (0.632, 0.468)
noseCrest 6 pts (0.699, 0.689), (0.681, 0.602), (0.667, 0.512), (0.650, 0.425), (0.540, 0.481), (0.622, 0.379)
outerLips 14 pts (0.339, 0.382), (0.405, 0.367), (0.469, 0.340), (0.491, 0.316), (0.519, 0.301), (0.525, 0.271), (0.520, 0.241), (0.506, 0.217), (0.488, 0.196), (0.453, 0.189), (0.414, 0.198), (0.357, 0.252), (0.308, 0.315), (0.276, 0.383)
rightEye 6 pts (0.804, 0.547), (0.793, 0.591), (0.743, 0.627), (0.699, 0.632), (0.723, 0.594), (0.767, 0.558)
rightEyebrow 6 pts (0.982, 0.585), (0.927, 0.693), (0.826, 0.762), (0.795, 0.712), (0.888, 0.652), (0.954, 0.562)
rightPupil 1 pt (0.760, 0.590)
face 3 — bbox=(0.102, 0.642, 0.054, 0.078) — pose not reported
faceContour 17 pts (0.882, 0.609), (0.860, 0.515), (0.829, 0.422), (0.782, 0.336), (0.726, 0.255), (0.661, 0.181), (0.589, 0.112), (0.512, 0.051), (0.417, 0.030), (0.281, 0.073), (0.164, 0.153), (0.067, 0.253), (-0.009, 0.371), (-0.046, 0.505), (-0.040, 0.646), (-0.010, 0.784), (0.028, 0.917)
innerLips 6 pts (0.484, 0.309), (0.555, 0.286), (0.592, 0.283), (0.591, 0.277), (0.554, 0.281), (0.485, 0.306)
leftEye 6 pts (0.344, 0.788), (0.400, 0.799), (0.477, 0.772), (0.515, 0.724), (0.458, 0.727), (0.386, 0.749)
leftEyebrow 6 pts (0.317, 0.915), (0.475, 0.913), (0.615, 0.842), (0.593, 0.797), (0.461, 0.862), (0.314, 0.886)
leftPupil 1 pt (0.406, 0.772)
medianLine 10 pts (0.677, 0.703), (0.670, 0.621), (0.665, 0.536), (0.659, 0.454), (0.601, 0.402), (0.570, 0.322), (0.555, 0.286), (0.554, 0.281), (0.533, 0.228), (0.417, 0.030)
nose 8 pts (0.670, 0.621), (0.513, 0.549), (0.484, 0.455), (0.545, 0.432), (0.601, 0.402), (0.637, 0.404), (0.671, 0.406), (0.685, 0.496)
noseCrest 6 pts (0.677, 0.703), (0.670, 0.621), (0.665, 0.536), (0.659, 0.454), (0.552, 0.481), (0.680, 0.425)
outerLips 14 pts (0.430, 0.342), (0.485, 0.342), (0.540, 0.337), (0.570, 0.322), (0.603, 0.320), (0.624, 0.308), (0.640, 0.290), (0.643, 0.272), (0.616, 0.242), (0.575, 0.227), (0.533, 0.228), (0.472, 0.252), (0.420, 0.290), (0.378, 0.338)
rightEye 6 pts (0.849, 0.632), (0.819, 0.669), (0.756, 0.683), (0.714, 0.664), (0.752, 0.640), (0.808, 0.623)
rightEyebrow 6 pts (0.975, 0.709), (0.891, 0.765), (0.787, 0.776), (0.777, 0.732), (0.875, 0.718), (0.961, 0.679)
rightPupil 1 pt (0.769, 0.659)
face 4 — bbox=(0.859, 0.640, 0.045, 0.065) — pose not reported
faceContour 17 pts (0.977, 1.007), (1.025, 0.859), (1.068, 0.700), (1.094, 0.534), (1.070, 0.366), (0.999, 0.214), (0.899, 0.080), (0.773, -0.030), (0.620, -0.103), (0.526, -0.078), (0.453, -0.012), (0.381, 0.060), (0.314, 0.136), (0.252, 0.217), (0.193, 0.305), (0.146, 0.404), (0.109, 0.499)
innerLips 6 pts (0.392, 0.136), (0.429, 0.158), (0.523, 0.203), (0.542, 0.175), (0.458, 0.125), (0.415, 0.111)
leftEye 6 pts (0.095, 0.524), (0.122, 0.565), (0.185, 0.592), (0.233, 0.588), (0.197, 0.556), (0.140, 0.527)
leftEyebrow 6 pts (-0.063, 0.547), (0.026, 0.640), (0.150, 0.692), (0.172, 0.642), (0.055, 0.591), (-0.040, 0.515)
leftPupil 1 pt (0.155, 0.563)
medianLine 10 pts (0.242, 0.626), (0.242, 0.523), (0.243, 0.416), (0.247, 0.312), (0.351, 0.276), (0.412, 0.198), (0.429, 0.158), (0.458, 0.125), (0.485, 0.077), (0.620, -0.103)
nose 8 pts (0.242, 0.523), (0.263, 0.376), (0.282, 0.267), (0.316, 0.268), (0.351, 0.276), (0.402, 0.323), (0.458, 0.365), (0.413, 0.458)
noseCrest 6 pts (0.242, 0.626), (0.242, 0.523), (0.243, 0.416), (0.247, 0.312), (0.266, 0.276), (0.367, 0.367)
outerLips 14 pts (0.347, 0.138), (0.357, 0.164), (0.377, 0.187), (0.412, 0.198), (0.443, 0.219), (0.516, 0.244), (0.587, 0.258), (0.653, 0.262), (0.616, 0.187), (0.556, 0.123), (0.485, 0.077), (0.431, 0.064), (0.380, 0.080), (0.348, 0.114)
rightEye 6 pts (0.572, 0.779), (0.513, 0.774), (0.439, 0.735), (0.409, 0.682), (0.463, 0.702), (0.532, 0.742)
rightEyebrow 6 pts (0.618, 0.915), (0.437, 0.885), (0.280, 0.782), (0.316, 0.730), (0.461, 0.830), (0.627, 0.878)
rightPupil 1 pt (0.481, 0.746)
face 5 — bbox=(0.426, 0.430, 0.050, 0.072) — pose not reported
faceContour 17 pts (1.054, 0.519), (1.005, 0.388), (0.946, 0.251), (0.862, 0.129), (0.742, 0.044), (0.601, -0.004), (0.454, -0.022), (0.300, -0.009), (0.158, 0.047), (0.103, 0.125), (0.082, 0.214), (0.072, 0.314), (0.074, 0.424), (0.090, 0.536), (0.120, 0.643), (0.169, 0.745), (0.222, 0.835)
innerLips 6 pts (0.174, 0.383), (0.228, 0.374), (0.315, 0.343), (0.307, 0.315), (0.220, 0.337), (0.169, 0.357)
leftEye 6 pts (0.208, 0.857), (0.251, 0.865), (0.307, 0.834), (0.340, 0.798), (0.294, 0.802), (0.237, 0.825)
leftEyebrow 6 pts (0.165, 0.996), (0.272, 0.976), (0.361, 0.914), (0.339, 0.872), (0.252, 0.928), (0.158, 0.960)
leftPupil 1 pt (0.260, 0.834)
medianLine 10 pts (0.383, 0.811), (0.331, 0.742), (0.278, 0.673), (0.226, 0.604), (0.254, 0.507), (0.240, 0.421), (0.228, 0.374), (0.220, 0.337), (0.206, 0.272), (0.158, 0.047)
nose 8 pts (0.331, 0.742), (0.240, 0.634), (0.181, 0.548), (0.217, 0.526), (0.254, 0.507), (0.317, 0.502), (0.378, 0.492), (0.409, 0.587)
noseCrest 6 pts (0.383, 0.811), (0.331, 0.742), (0.278, 0.673), (0.226, 0.604), (0.192, 0.577), (0.331, 0.554)
outerLips 14 pts (0.125, 0.420), (0.162, 0.437), (0.205, 0.439), (0.240, 0.421), (0.280, 0.416), (0.338, 0.383), (0.391, 0.346), (0.431, 0.302), (0.364, 0.266), (0.284, 0.255), (0.206, 0.272), (0.153, 0.300), (0.114, 0.342), (0.098, 0.394)
rightEye 6 pts (0.664, 0.651), (0.621, 0.688), (0.557, 0.718), (0.511, 0.714), (0.547, 0.682), (0.613, 0.654)
rightEyebrow 6 pts (0.766, 0.715), (0.648, 0.811), (0.502, 0.862), (0.488, 0.810), (0.625, 0.760), (0.747, 0.685)
rightPupil 1 pt (0.580, 0.688)
face 6 — bbox=(0.575, 0.418, 0.047, 0.069) — pose not reported
faceContour 17 pts (1.062, 0.540), (0.995, 0.404), (0.920, 0.266), (0.830, 0.141), (0.709, 0.055), (0.569, 0.006), (0.423, -0.017), (0.271, -0.010), (0.126, 0.044), (0.092, 0.137), (0.104, 0.239), (0.118, 0.347), (0.133, 0.453), (0.149, 0.558), (0.175, 0.657), (0.217, 0.752), (0.263, 0.837)
innerLips 6 pts (0.160, 0.377), (0.190, 0.381), (0.272, 0.350), (0.261, 0.300), (0.177, 0.321), (0.153, 0.334)
leftEye 6 pts (0.246, 0.850), (0.284, 0.874), (0.341, 0.849), (0.366, 0.807), (0.324, 0.802), (0.273, 0.818)
leftEyebrow 6 pts (0.184, 0.992), (0.284, 1.013), (0.381, 0.979), (0.365, 0.931), (0.275, 0.963), (0.184, 0.958)
leftPupil 1 pt (0.293, 0.838)
medianLine 10 pts (0.381, 0.844), (0.311, 0.772), (0.238, 0.700), (0.169, 0.628), (0.218, 0.522), (0.199, 0.412), (0.190, 0.381), (0.177, 0.321), (0.163, 0.267), (0.126, 0.044)
nose 8 pts (0.311, 0.772), (0.238, 0.637), (0.180, 0.549), (0.198, 0.535), (0.218, 0.522), (0.269, 0.516), (0.319, 0.502), (0.357, 0.594)
noseCrest 6 pts (0.381, 0.844), (0.311, 0.772), (0.238, 0.700), (0.169, 0.628), (0.169, 0.578), (0.277, 0.572)
outerLips 14 pts (0.130, 0.393), (0.147, 0.414), (0.172, 0.427), (0.199, 0.412), (0.230, 0.409), (0.287, 0.377), (0.343, 0.338), (0.390, 0.291), (0.321, 0.259), (0.239, 0.251), (0.163, 0.267), (0.129, 0.293), (0.115, 0.329), (0.122, 0.368)
rightEye 6 pts (0.658, 0.697), (0.622, 0.746), (0.550, 0.769), (0.505, 0.745), (0.543, 0.712), (0.608, 0.690)
rightEyebrow 6 pts (0.799, 0.782), (0.684, 0.902), (0.525, 0.948), (0.511, 0.888), (0.657, 0.849), (0.778, 0.754)
rightPupil 1 pt (0.575, 0.734)
face 7 — bbox=(0.738, 0.420, 0.051, 0.075) — pose not reported
faceContour 17 pts (0.800, 0.763), (0.826, 0.648), (0.840, 0.530), (0.846, 0.409), (0.845, 0.286), (0.829, 0.164), (0.793, 0.049), (0.739, -0.052), (0.646, -0.117), (0.497, -0.128), (0.352, -0.092), (0.218, -0.027), (0.100, 0.062), (0.007, 0.177), (-0.055, 0.313), (-0.101, 0.456), (-0.138, 0.598)
innerLips 6 pts (0.548, 0.181), (0.614, 0.194), (0.659, 0.205), (0.656, 0.194), (0.611, 0.179), (0.545, 0.170)
leftEye 6 pts (0.189, 0.649), (0.234, 0.692), (0.314, 0.706), (0.369, 0.680), (0.318, 0.655), (0.244, 0.637)
leftEyebrow 6 pts (0.095, 0.728), (0.233, 0.819), (0.397, 0.840), (0.403, 0.785), (0.249, 0.763), (0.110, 0.697)
leftPupil 1 pt (0.251, 0.677)
medianLine 10 pts (0.513, 0.742), (0.547, 0.650), (0.582, 0.554), (0.615, 0.461), (0.595, 0.372), (0.609, 0.237), (0.614, 0.194), (0.611, 0.179), (0.622, 0.115), (0.646, -0.117)
nose 8 pts (0.547, 0.650), (0.458, 0.472), (0.480, 0.362), (0.537, 0.371), (0.595, 0.372), (0.627, 0.389), (0.659, 0.403), (0.630, 0.507)
noseCrest 6 pts (0.513, 0.742), (0.547, 0.650), (0.582, 0.554), (0.615, 0.461), (0.512, 0.424), (0.659, 0.438)
outerLips 14 pts (0.487, 0.187), (0.529, 0.217), (0.574, 0.239), (0.609, 0.237), (0.639, 0.251), (0.672, 0.245), (0.702, 0.231), (0.722, 0.213), (0.703, 0.168), (0.668, 0.134), (0.622, 0.115), (0.562, 0.109), (0.501, 0.123), (0.450, 0.151)
rightEye 6 pts (0.727, 0.758), (0.680, 0.781), (0.611, 0.765), (0.577, 0.725), (0.625, 0.721), (0.690, 0.729)
rightEyebrow 6 pts (0.810, 0.883), (0.693, 0.907), (0.576, 0.872), (0.587, 0.822), (0.698, 0.854), (0.809, 0.851)
rightPupil 1 pt (0.641, 0.752)
face 8 — bbox=(0.403, 0.558, 0.038, 0.055) — pose not reported
faceContour 17 pts (0.730, 0.526), (0.716, 0.405), (0.696, 0.283), (0.669, 0.164), (0.637, 0.044), (0.592, -0.075), (0.535, -0.188), (0.469, -0.284), (0.378, -0.349), (0.192, -0.305), (0.025, -0.209), (-0.111, -0.075), (-0.212, 0.087), (-0.254, 0.275), (-0.233, 0.472), (-0.189, 0.665), (-0.139, 0.845)
innerLips 6 pts (0.475, 0.017), (0.548, 0.003), (0.575, -0.004), (0.575, -0.011), (0.549, -0.006), (0.483, 0.016)
leftEye 6 pts (0.394, 0.685), (0.447, 0.695), (0.515, 0.668), (0.533, 0.613), (0.486, 0.618), (0.428, 0.650)
leftEyebrow 6 pts (0.365, 0.844), (0.532, 0.847), (0.680, 0.766), (0.651, 0.707), (0.514, 0.782), (0.363, 0.806)
leftPupil 1 pt (0.496, 0.656)
medianLine 10 pts (0.680, 0.597), (0.693, 0.483), (0.710, 0.365), (0.723, 0.250), (0.599, 0.177), (0.570, 0.069), (0.548, 0.003), (0.549, -0.006), (0.523, -0.070), (0.378, -0.349)
nose 8 pts (0.693, 0.483), (0.521, 0.361), (0.485, 0.227), (0.543, 0.208), (0.599, 0.177), (0.633, 0.182), (0.665, 0.184), (0.673, 0.320)
noseCrest 6 pts (0.680, 0.597), (0.693, 0.483), (0.710, 0.365), (0.723, 0.250), (0.573, 0.275), (0.698, 0.205)
outerLips 14 pts (0.421, 0.053), (0.480, 0.074), (0.542, 0.082), (0.570, 0.069), (0.599, 0.067), (0.615, 0.039), (0.616, 0.009), (0.602, -0.020), (0.590, -0.046), (0.560, -0.062), (0.523, -0.070), (0.470, -0.046), (0.417, -0.018), (0.370, 0.019)
rightEye 6 pts (0.791, 0.529), (0.772, 0.571), (0.714, 0.581), (0.671, 0.564), (0.704, 0.540), (0.755, 0.525)
rightEyebrow 6 pts (0.983, 0.609), (0.894, 0.683), (0.777, 0.708), (0.759, 0.651), (0.868, 0.629), (0.963, 0.577)
rightPupil 1 pt (0.758, 0.550)
face 9 — bbox=(0.591, 0.623, 0.040, 0.059) — pose not reported
faceContour 17 pts (1.019, 0.891), (1.048, 0.748), (1.070, 0.598), (1.075, 0.444), (1.037, 0.296), (0.959, 0.168), (0.857, 0.061), (0.730, -0.015), (0.585, -0.052), (0.496, -0.023), (0.427, 0.042), (0.369, 0.123), (0.326, 0.212), (0.293, 0.308), (0.262, 0.405), (0.236, 0.508), (0.216, 0.605)
innerLips 6 pts (0.419, 0.227), (0.469, 0.240), (0.547, 0.254), (0.548, 0.227), (0.473, 0.207), (0.424, 0.198)
leftEye 6 pts (0.233, 0.640), (0.260, 0.669), (0.314, 0.687), (0.356, 0.683), (0.322, 0.662), (0.273, 0.645)
leftEyebrow 6 pts (0.097, 0.676), (0.189, 0.745), (0.302, 0.773), (0.314, 0.724), (0.207, 0.695), (0.113, 0.644)
leftPupil 1 pt (0.297, 0.663)
medianLine 10 pts (0.384, 0.723), (0.382, 0.632), (0.378, 0.539), (0.375, 0.447), (0.443, 0.382), (0.460, 0.282), (0.469, 0.240), (0.473, 0.207), (0.487, 0.162), (0.585, -0.052)
nose 8 pts (0.382, 0.632), (0.370, 0.488), (0.370, 0.384), (0.406, 0.384), (0.443, 0.382), (0.493, 0.410), (0.545, 0.431), (0.522, 0.532)
noseCrest 6 pts (0.384, 0.723), (0.382, 0.632), (0.378, 0.539), (0.375, 0.447), (0.364, 0.409), (0.482, 0.461)
outerLips 14 pts (0.366, 0.235), (0.390, 0.263), (0.424, 0.282), (0.460, 0.282), (0.493, 0.294), (0.552, 0.295), (0.608, 0.285), (0.656, 0.261), (0.609, 0.213), (0.550, 0.182), (0.487, 0.162), (0.435, 0.156), (0.385, 0.170), (0.354, 0.202)
rightEye 6 pts (0.663, 0.783), (0.617, 0.786), (0.557, 0.768), (0.524, 0.736), (0.567, 0.745), (0.626, 0.764)
rightEyebrow 6 pts (0.699, 0.876), (0.556, 0.877), (0.419, 0.822), (0.440, 0.773), (0.567, 0.823), (0.701, 0.842)
rightPupil 1 pt (0.602, 0.770)
face 10 — bbox=(0.780, 0.550, 0.044, 0.063) — pose not reported
faceContour 17 pts (1.056, 0.645), (1.039, 0.475), (1.013, 0.300), (0.963, 0.131), (0.863, -0.010), (0.726, -0.117), (0.571, -0.195), (0.401, -0.237), (0.224, -0.221), (0.152, -0.133), (0.120, -0.023), (0.091, 0.096), (0.070, 0.220), (0.060, 0.345), (0.059, 0.470), (0.070, 0.593), (0.086, 0.709)
innerLips 6 pts (0.136, 0.095), (0.174, 0.092), (0.259, 0.079), (0.256, 0.069), (0.172, 0.078), (0.135, 0.081)
leftEye 6 pts (0.069, 0.713), (0.110, 0.720), (0.164, 0.706), (0.197, 0.684), (0.154, 0.676), (0.099, 0.689)
leftEyebrow 6 pts (-0.072, 0.828), (0.044, 0.841), (0.162, 0.808), (0.154, 0.756), (0.042, 0.783), (-0.067, 0.788)
leftPupil 1 pt (0.138, 0.699)
medianLine 10 pts (0.213, 0.688), (0.166, 0.575), (0.117, 0.459), (0.073, 0.345), (0.158, 0.258), (0.172, 0.129), (0.174, 0.092), (0.172, 0.078), (0.174, 0.031), (0.224, -0.221)
nose 8 pts (0.166, 0.575), (0.123, 0.416), (0.083, 0.295), (0.120, 0.275), (0.158, 0.258), (0.224, 0.269), (0.291, 0.276), (0.300, 0.400)
noseCrest 6 pts (0.213, 0.688), (0.166, 0.575), (0.117, 0.459), (0.073, 0.345), (0.075, 0.313), (0.211, 0.327)
outerLips 14 pts (0.098, 0.118), (0.117, 0.132), (0.142, 0.140), (0.172, 0.129), (0.204, 0.129), (0.266, 0.113), (0.325, 0.091), (0.377, 0.063), (0.314, 0.036), (0.243, 0.025), (0.174, 0.031), (0.132, 0.045), (0.102, 0.068), (0.087, 0.098)
rightEye 6 pts (0.535, 0.617), (0.489, 0.636), (0.422, 0.649), (0.377, 0.639), (0.418, 0.616), (0.485, 0.605)
rightEyebrow 6 pts (0.615, 0.722), (0.471, 0.782), (0.310, 0.790), (0.312, 0.730), (0.462, 0.719), (0.605, 0.683)
rightPupil 1 pt (0.457, 0.631)
⌒Animals (cat/dog)0 detected
No cats or dogs detected by VNRecognizeAnimalsRequest. (The recognizer is conservative — paintings, distant or partial subjects often score below threshold.)
🐾Animal pose0 animals
No animal body poses detected.
⩎Body pose11 bodies
19 named joints per body — head, ears, eyes, neck, shoulders, elbows, wrists, root, hips, knees, ankles. Skeleton drawn on the image above; per-body skeleton + every joint name and (x, y, confidence) below.
person 1 — 19 joints — avg confidence 26.4% (of 13 confident joints: 38.6%)
head 3 joints head_joint (0.708, 0.729) c=0.60 left_ear_joint (0.730, 0.739) c=0.34 right_ear_joint (0.692, 0.718) c=0.32
eyes 2 joints left_eye_joint (0.715, 0.745) c=0.64 right_eye_joint (0.700, 0.738) c=0.63
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.000, 1.000) c=0.00 left_upLeg_joint (0.756, 0.519) c=0.15
left arm 3 joints left_forearm_joint (0.000, 1.000) c=0.00 left_hand_joint (0.773, 0.448) c=0.17 left_shoulder_1_joint (0.747, 0.681) c=0.57
torso 2 joints neck_1_joint (0.715, 0.662) c=0.56 root (0.730, 0.508) c=0.14
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.000, 1.000) c=0.00 right_upLeg_joint (0.704, 0.496) c=0.13
right arm 3 joints right_forearm_joint (0.676, 0.568) c=0.21 right_hand_joint (0.000, 1.000) c=0.00 right_shoulder_1_joint (0.682, 0.644) c=0.55
person 2 — 19 joints — avg confidence 28.4% (of 10 confident joints: 53.9%)
head 3 joints head_joint (0.130, 0.690) c=0.78 left_ear_joint (0.000, 1.000) c=0.00 right_ear_joint (0.093, 0.705) c=0.74
eyes 2 joints left_eye_joint (0.139, 0.703) c=0.84 right_eye_joint (0.121, 0.706) c=0.79
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.000, 1.000) c=0.00 left_upLeg_joint (0.000, 1.000) c=0.00
left arm 3 joints left_forearm_joint (0.153, 0.489) c=0.18 left_hand_joint (0.164, 0.551) c=0.24 left_shoulder_1_joint (0.136, 0.616) c=0.46
torso 2 joints neck_1_joint (0.105, 0.630) c=0.48 root (0.000, 1.000) c=0.00
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.000, 1.000) c=0.00 right_upLeg_joint (0.000, 1.000) c=0.00
right arm 3 joints right_forearm_joint (0.000, 1.000) c=0.00 right_hand_joint (0.154, 0.593) c=0.38 right_shoulder_1_joint (0.074, 0.645) c=0.49
person 3 — 19 joints — avg confidence 34.8% (of 14 confident joints: 47.3%)
head 3 joints head_joint (0.873, 0.679) c=0.82 left_ear_joint (0.902, 0.707) c=0.70 right_ear_joint (0.000, 1.000) c=0.00
eyes 2 joints left_eye_joint (0.878, 0.701) c=0.92 right_eye_joint (0.864, 0.683) c=0.85
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.000, 1.000) c=0.00 left_upLeg_joint (0.937, 0.509) c=0.14
left arm 3 joints left_forearm_joint (0.950, 0.574) c=0.24 left_hand_joint (0.937, 0.538) c=0.18 left_shoulder_1_joint (0.937, 0.662) c=0.61
torso 2 joints neck_1_joint (0.901, 0.638) c=0.68 root (0.921, 0.504) c=0.15
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.000, 1.000) c=0.00 right_upLeg_joint (0.905, 0.498) c=0.16
right arm 3 joints right_forearm_joint (0.875, 0.541) c=0.28 right_hand_joint (0.916, 0.537) c=0.12 right_shoulder_1_joint (0.864, 0.614) c=0.75
person 4 — 19 joints — avg confidence 35.3% (of 16 confident joints: 41.9%)
head 3 joints head_joint (0.276, 0.657) c=0.80 left_ear_joint (0.291, 0.469) c=0.38 right_ear_joint (0.246, 0.683) c=0.80
eyes 2 joints left_eye_joint (0.280, 0.478) c=0.72 right_eye_joint (0.271, 0.677) c=0.80
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.211, 0.404) c=0.10 left_upLeg_joint (0.000, 1.000) c=0.00
left arm 3 joints left_forearm_joint (0.278, 0.369) c=0.22 left_hand_joint (0.244, 0.413) c=0.34 left_shoulder_1_joint (0.286, 0.602) c=0.56
torso 2 joints neck_1_joint (0.250, 0.613) c=0.60 root (0.103, 0.713) c=0.06
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.205, 0.404) c=0.26 right_upLeg_joint (0.207, 0.426) c=0.11
right arm 3 joints right_forearm_joint (0.202, 0.538) c=0.18 right_hand_joint (0.237, 0.434) c=0.15 right_shoulder_1_joint (0.214, 0.623) c=0.63
person 5 — 19 joints — avg confidence 28.8% (of 13 confident joints: 42.1%)
head 3 joints head_joint (0.608, 0.661) c=0.79 left_ear_joint (0.637, 0.680) c=0.74 right_ear_joint (0.000, 1.000) c=0.00
eyes 2 joints left_eye_joint (0.615, 0.680) c=0.81 right_eye_joint (0.603, 0.669) c=0.61
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.000, 1.000) c=0.00 left_upLeg_joint (0.682, 0.472) c=0.15
left arm 3 joints left_forearm_joint (0.664, 0.540) c=0.22 left_hand_joint (0.690, 0.451) c=0.22 left_shoulder_1_joint (0.656, 0.620) c=0.57
torso 2 joints neck_1_joint (0.634, 0.613) c=0.52 root (0.676, 0.471) c=0.13
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.000, 1.000) c=0.00 right_upLeg_joint (0.670, 0.470) c=0.11
right arm 3 joints right_forearm_joint (0.575, 0.529) c=0.15 right_hand_joint (0.000, 1.000) c=0.00 right_shoulder_1_joint (0.612, 0.606) c=0.46
person 6 — 19 joints — avg confidence 30.3% (of 12 confident joints: 48.0%)
head 3 joints head_joint (0.426, 0.573) c=0.83 left_ear_joint (0.000, 1.000) c=0.00 right_ear_joint (0.394, 0.616) c=0.77
eyes 2 joints left_eye_joint (0.433, 0.591) c=0.69 right_eye_joint (0.420, 0.594) c=0.91
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.000, 1.000) c=0.00 left_upLeg_joint (0.000, 1.000) c=0.00
left arm 3 joints left_forearm_joint (0.424, 0.440) c=0.15 left_hand_joint (0.000, 1.000) c=0.00 left_shoulder_1_joint (0.419, 0.537) c=0.48
torso 2 joints neck_1_joint (0.386, 0.558) c=0.50 root (0.173, 0.691) c=0.06
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.333, 0.531) c=0.38 right_upLeg_joint (0.345, 0.383) c=0.13
right arm 3 joints right_forearm_joint (0.313, 0.546) c=0.33 right_hand_joint (0.000, 1.000) c=0.00 right_shoulder_1_joint (0.354, 0.580) c=0.52
person 7 — 19 joints — avg confidence 23.4% (of 9 confident joints: 49.4%)
head 3 joints head_joint (0.785, 0.575) c=0.70 left_ear_joint (0.823, 0.587) c=0.67 right_ear_joint (0.000, 1.000) c=0.00
eyes 2 joints left_eye_joint (0.794, 0.591) c=0.85 right_eye_joint (0.781, 0.590) c=0.33
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.956, 0.157) c=0.11 left_upLeg_joint (0.000, 1.000) c=0.00
left arm 3 joints left_forearm_joint (0.808, 0.460) c=0.21 left_hand_joint (0.000, 1.000) c=0.00 left_shoulder_1_joint (0.838, 0.534) c=0.67
torso 2 joints neck_1_joint (0.816, 0.533) c=0.52 root (0.000, 1.000) c=0.00
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.000, 1.000) c=0.00 right_upLeg_joint (0.000, 1.000) c=0.00
right arm 3 joints right_forearm_joint (0.000, 1.000) c=0.00 right_hand_joint (0.000, 1.000) c=0.00 right_shoulder_1_joint (0.794, 0.533) c=0.38
person 8 — 19 joints — avg confidence 39.3% (of 13 confident joints: 57.5%)
head 3 joints head_joint (0.880, 0.482) c=0.84 left_ear_joint (0.907, 0.498) c=0.72 right_ear_joint (0.861, 0.490) c=0.24
eyes 2 joints left_eye_joint (0.890, 0.498) c=0.87 right_eye_joint (0.870, 0.494) c=0.90
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.000, 1.000) c=0.00 left_upLeg_joint (0.954, 0.253) c=0.19
left arm 3 joints left_forearm_joint (0.981, 0.324) c=0.12 left_hand_joint (0.959, 0.367) c=0.78 left_shoulder_1_joint (0.938, 0.433) c=0.66
torso 2 joints neck_1_joint (0.893, 0.421) c=0.68 root (0.477, 0.627) c=0.09
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.000, 1.000) c=0.00 right_upLeg_joint (0.000, 1.000) c=0.00
right arm 3 joints right_forearm_joint (0.000, 1.000) c=0.00 right_hand_joint (0.879, 0.259) c=0.68 right_shoulder_1_joint (0.848, 0.410) c=0.71
person 9 — 19 joints — avg confidence 42.1% (of 14 confident joints: 57.1%)
head 3 joints head_joint (0.441, 0.479) c=0.91 left_ear_joint (0.481, 0.466) c=0.85 right_ear_joint (0.000, 1.000) c=0.00
eyes 2 joints left_eye_joint (0.453, 0.494) c=0.92 right_eye_joint (0.439, 0.500) c=0.88
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.000, 1.000) c=0.00 left_upLeg_joint (0.449, 0.200) c=0.20
left arm 3 joints left_forearm_joint (0.444, 0.261) c=0.59 left_hand_joint (0.405, 0.354) c=0.57 left_shoulder_1_joint (0.492, 0.384) c=0.75
torso 2 joints neck_1_joint (0.458, 0.400) c=0.74 root (0.423, 0.217) c=0.19
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.000, 1.000) c=0.00 right_upLeg_joint (0.396, 0.233) c=0.17
right arm 3 joints right_forearm_joint (0.411, 0.332) c=0.23 right_hand_joint (0.391, 0.367) c=0.25 right_shoulder_1_joint (0.425, 0.415) c=0.74
person 10 — 19 joints — avg confidence 33.5% (of 13 confident joints: 48.9%)
head 3 joints head_joint (0.765, 0.469) c=0.83 left_ear_joint (0.780, 0.480) c=0.25 right_ear_joint (0.729, 0.464) c=0.70
eyes 2 joints left_eye_joint (0.771, 0.488) c=0.84 right_eye_joint (0.751, 0.476) c=0.88
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.000, 1.000) c=0.00 left_upLeg_joint (0.000, 1.000) c=0.00
left arm 3 joints left_forearm_joint (0.802, 0.276) c=0.29 left_hand_joint (0.834, 0.286) c=0.46 left_shoulder_1_joint (0.776, 0.392) c=0.53
torso 2 joints neck_1_joint (0.754, 0.378) c=0.52 root (0.382, 0.549) c=0.05
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.000, 1.000) c=0.00 right_upLeg_joint (0.764, 0.098) c=0.11
right arm 3 joints right_forearm_joint (0.809, 0.211) c=0.37 right_hand_joint (0.000, 1.000) c=0.00 right_shoulder_1_joint (0.732, 0.364) c=0.52
person 11 — 19 joints — avg confidence 29.4% (of 15 confident joints: 37.3%)
head 3 joints head_joint (0.595, 0.457) c=0.70 left_ear_joint (0.624, 0.459) c=0.61 right_ear_joint (0.582, 0.454) c=0.14
eyes 2 joints left_eye_joint (0.604, 0.471) c=0.82 right_eye_joint (0.587, 0.468) c=0.63
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.000, 1.000) c=0.00 left_upLeg_joint (0.646, 0.235) c=0.11
left arm 3 joints left_forearm_joint (0.660, 0.293) c=0.15 left_hand_joint (0.636, 0.314) c=0.14 left_shoulder_1_joint (0.646, 0.389) c=0.43
torso 2 joints neck_1_joint (0.608, 0.397) c=0.50 root (0.617, 0.240) c=0.11
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.000, 1.000) c=0.00 right_upLeg_joint (0.589, 0.245) c=0.11
right arm 3 joints right_forearm_joint (0.579, 0.377) c=0.36 right_hand_joint (0.636, 0.414) c=0.22 right_shoulder_1_joint (0.569, 0.406) c=0.57
✋Hand pose2 hands
21 keypoints per hand (wrist + 4 per finger × 5 fingers). Chirality reported per hand. Per-hand skeleton + every joint with full (x, y, confidence) below.
hand 1 — 21 joints — avg confidence 84.2% (of 21 confident joints: 84.2%)
index 4 joints VNHLKIDIP (0.919, 0.371) c=0.87 VNHLKIMCP (0.939, 0.375) c=0.83 VNHLKIPIP (0.927, 0.373) c=0.89 VNHLKITIP (0.912, 0.369) c=0.92
middle 4 joints VNHLKMDIP (0.916, 0.355) c=0.86 VNHLKMMCP (0.938, 0.364) c=0.84 VNHLKMPIP (0.925, 0.359) c=0.88 VNHLKMTIP (0.909, 0.350) c=0.83
pinky 4 joints VNHLKPDIP (0.928, 0.333) c=0.87 VNHLKPMCP (0.943, 0.343) c=0.85 VNHLKPPIP (0.935, 0.336) c=0.85 VNHLKPTIP (0.922, 0.331) c=0.86
ring 4 joints VNHLKRDIP (0.920, 0.343) c=0.83 VNHLKRMCP (0.940, 0.353) c=0.77 VNHLKRPIP (0.928, 0.347) c=0.86 VNHLKRTIP (0.913, 0.341) c=0.87
thumb 4 joints VNHLKTCMC (0.957, 0.373) c=0.77 VNHLKTIP (0.940, 0.389) c=0.84 VNHLKTMP (0.948, 0.382) c=0.78 VNHLKTTIP (0.936, 0.400) c=0.87
wrist 1 joint VNHLKWRI (0.961, 0.362) c=0.73
hand 2 — 21 joints — avg confidence 65.1% (of 21 confident joints: 65.1%)
index 4 joints VNHLKIDIP (0.866, 0.319) c=0.78 VNHLKIMCP (0.850, 0.318) c=0.71 VNHLKIPIP (0.861, 0.324) c=0.74 VNHLKITIP (0.872, 0.311) c=0.72
middle 4 joints VNHLKMDIP (0.876, 0.322) c=0.68 VNHLKMMCP (0.856, 0.317) c=0.57 VNHLKMPIP (0.867, 0.323) c=0.73 VNHLKMTIP (0.885, 0.322) c=0.67
pinky 4 joints VNHLKPDIP (0.878, 0.308) c=0.64 VNHLKPMCP (0.862, 0.306) c=0.51 VNHLKPPIP (0.872, 0.309) c=0.34 VNHLKPTIP (0.885, 0.308) c=0.55
ring 4 joints VNHLKRDIP (0.878, 0.320) c=0.77 VNHLKRMCP (0.860, 0.313) c=0.45 VNHLKRPIP (0.871, 0.319) c=0.63 VNHLKRTIP (0.886, 0.320) c=0.78
thumb 4 joints VNHLKTCMC (0.844, 0.290) c=0.56 VNHLKTIP (0.857, 0.305) c=0.80 VNHLKTMP (0.850, 0.300) c=0.74 VNHLKTTIP (0.866, 0.310) c=0.78
wrist 1 joint VNHLKWRI (0.843, 0.281) c=0.52
★Aesthetics0.421
memorable
overallScore range −1.00 utility → +1.00 memorable · 71.0% along scale
●Lens smudge16.42%
possibly smudged
confidence 0.1641845703125 · 0% clean · 100% smudged
◉Saliency · attention1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 64.5% confidence — bbox=(0.021, 0.289, 0.979, 0.569)
◉Saliency · objectness3 regions
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 35.7% confidence — bbox=(0.008, 0.178, 0.136, 0.385)
region 2 — 56.0% confidence — bbox=(0.251, 0.000, 0.313, 0.600)
region 3 — 39.3% confidence — bbox=(0.606, 0.139, 0.174, 0.394)
▱Quadrilaterals0 detected
No four-cornered shapes found.
▭Text regions0 detected
No text regions detected by the cheap probe.
⏤Horizonno horizon
No horizon line detected (no clear sky/ground separation).
∿Contours479 total · 10 top-level
Vector edge contours of detected shapes. 10 paths drawn on the image above (sampled from top-level).
path 1 — 4 points —
1: (0.976, 0.828) 2: (0.976, 0.829) 3: (0.974, 0.828) 4: (0.976, 0.827)
path 2 — 4 points —
1: (0.978, 0.831) 2: (0.978, 0.832) 3: (0.977, 0.831) 4: (0.978, 0.830)
path 3 — 53 points —
1: (0.983, 0.842) 2: (0.983, 0.844) 3: (0.985, 0.844) 4: (0.986, 0.845) 5: (0.987, 0.846) 6: (0.989, 0.848) 7: (0.989, 0.849) 8: (0.991, 0.851) 9: (0.993, 0.854) 10: (0.993, 0.856) 11: (0.993, 0.859) 12: (0.995, 0.860) 13: (0.996, 0.859) 14: (0.997, 0.859) 15: (0.998, 0.859) 16: (0.999, 0.860) 17: (1.000, 0.862) 18: (1.000, 0.865) 19: (1.000, 0.868) 20: (1.000, 0.871)
show all 33 more points
21: (1.000, 0.874)
22: (1.000, 0.876)
23: (1.000, 0.879)
24: (1.000, 0.882)
25: (0.999, 0.885)
26: (0.999, 0.888)
27: (0.997, 0.885)
28: (0.995, 0.882)
29: (0.993, 0.879)
30: (0.992, 0.876)
31: (0.991, 0.876)
32: (0.990, 0.874)
33: (0.989, 0.871)
34: (0.987, 0.868)
35: (0.985, 0.865)
36: (0.984, 0.862)
37: (0.983, 0.860)
38: (0.985, 0.859)
39: (0.985, 0.860)
40: (0.987, 0.860)
41: (0.989, 0.859)
42: (0.991, 0.857)
43: (0.990, 0.854)
44: (0.989, 0.853)
45: (0.987, 0.852)
46: (0.987, 0.851)
47: (0.985, 0.850)
48: (0.985, 0.848)
49: (0.983, 0.846)
50: (0.983, 0.845)
51: (0.981, 0.844)
52: (0.980, 0.842)
53: (0.981, 0.840)
path 4 — 4 points —
1: (0.984, 0.751) 2: (0.983, 0.753) 3: (0.982, 0.751) 4: (0.983, 0.750)
path 5 — 4 points —
1: (0.015, 0.641) 2: (0.015, 0.642) 3: (0.013, 0.641) 4: (0.015, 0.640)
path 6 — 4 points —
1: (0.020, 0.604) 2: (0.019, 0.606) 3: (0.017, 0.604) 4: (0.019, 0.601)
path 7 — 4 points —
1: (0.015, 0.607) 2: (0.015, 0.607) 3: (0.014, 0.607) 4: (0.015, 0.606)
path 8 — 2185 points —
1: (1.000, 0.001) 2: (1.000, 0.004) 3: (1.000, 0.007) 4: (1.000, 0.010) 5: (1.000, 0.013) 6: (1.000, 0.016) 7: (1.000, 0.018) 8: (1.000, 0.021) 9: (1.000, 0.024) 10: (1.000, 0.027) 11: (1.000, 0.030) 12: (1.000, 0.033) 13: (1.000, 0.036) 14: (1.000, 0.038) 15: (1.000, 0.041) 16: (1.000, 0.044) 17: (1.000, 0.047) 18: (1.000, 0.050) 19: (1.000, 0.053) 20: (1.000, 0.055)
show all 2165 more points
21: (1.000, 0.058)
22: (1.000, 0.061)
23: (1.000, 0.064)
24: (1.000, 0.067)
25: (1.000, 0.070)
26: (1.000, 0.072)
27: (1.000, 0.075)
28: (1.000, 0.078)
29: (1.000, 0.081)
30: (1.000, 0.084)
31: (1.000, 0.087)
32: (1.000, 0.089)
33: (1.000, 0.092)
34: (1.000, 0.095)
35: (1.000, 0.098)
36: (1.000, 0.101)
37: (1.000, 0.104)
38: (1.000, 0.107)
39: (1.000, 0.109)
40: (1.000, 0.112)
41: (1.000, 0.115)
42: (1.000, 0.118)
43: (1.000, 0.121)
44: (1.000, 0.124)
45: (1.000, 0.126)
46: (1.000, 0.129)
47: (1.000, 0.132)
48: (1.000, 0.135)
49: (1.000, 0.138)
50: (1.000, 0.141)
51: (1.000, 0.143)
52: (1.000, 0.146)
53: (1.000, 0.149)
54: (1.000, 0.152)
55: (1.000, 0.155)
56: (1.000, 0.158)
57: (1.000, 0.161)
58: (1.000, 0.163)
59: (1.000, 0.166)
60: (1.000, 0.169)
61: (1.000, 0.172)
62: (1.000, 0.175)
63: (1.000, 0.178)
64: (1.000, 0.180)
65: (1.000, 0.183)
66: (1.000, 0.186)
67: (1.000, 0.189)
68: (1.000, 0.192)
69: (1.000, 0.195)
70: (1.000, 0.197)
71: (1.000, 0.200)
72: (1.000, 0.203)
73: (1.000, 0.206)
74: (1.000, 0.209)
75: (1.000, 0.212)
76: (1.000, 0.214)
77: (1.000, 0.217)
78: (1.000, 0.220)
79: (1.000, 0.223)
80: (1.000, 0.226)
81: (1.000, 0.229)
82: (1.000, 0.232)
83: (1.000, 0.234)
84: (1.000, 0.237)
85: (1.000, 0.240)
86: (1.000, 0.243)
87: (1.000, 0.246)
88: (1.000, 0.249)
89: (1.000, 0.251)
90: (1.000, 0.254)
91: (1.000, 0.257)
92: (1.000, 0.260)
93: (1.000, 0.263)
94: (1.000, 0.266)
95: (1.000, 0.268)
96: (1.000, 0.271)
97: (1.000, 0.274)
98: (1.000, 0.277)
99: (1.000, 0.280)
100: (1.000, 0.283)
101: (1.000, 0.286)
102: (1.000, 0.288)
103: (1.000, 0.291)
104: (1.000, 0.294)
105: (1.000, 0.297)
106: (1.000, 0.300)
107: (1.000, 0.303)
108: (1.000, 0.305)
109: (1.000, 0.308)
110: (1.000, 0.311)
111: (1.000, 0.314)
112: (1.000, 0.317)
113: (1.000, 0.320)
114: (1.000, 0.322)
115: (1.000, 0.325)
116: (1.000, 0.328)
117: (1.000, 0.331)
118: (1.000, 0.334)
119: (1.000, 0.337)
120: (1.000, 0.339)
121: (1.000, 0.342)
122: (1.000, 0.345)
123: (1.000, 0.348)
124: (1.000, 0.351)
125: (1.000, 0.354)
126: (1.000, 0.357)
127: (1.000, 0.359)
128: (1.000, 0.362)
129: (1.000, 0.365)
130: (1.000, 0.368)
131: (1.000, 0.371)
132: (1.000, 0.374)
133: (1.000, 0.376)
134: (1.000, 0.379)
135: (1.000, 0.382)
136: (1.000, 0.385)
137: (1.000, 0.388)
138: (1.000, 0.391)
139: (1.000, 0.393)
140: (1.000, 0.396)
141: (1.000, 0.399)
142: (1.000, 0.402)
143: (1.000, 0.405)
144: (1.000, 0.408)
145: (1.000, 0.411)
146: (1.000, 0.413)
147: (1.000, 0.416)
148: (1.000, 0.419)
149: (1.000, 0.422)
150: (1.000, 0.425)
151: (1.000, 0.428)
152: (1.000, 0.430)
153: (1.000, 0.433)
154: (1.000, 0.436)
155: (1.000, 0.439)
156: (1.000, 0.442)
157: (1.000, 0.445)
158: (1.000, 0.447)
159: (1.000, 0.450)
160: (1.000, 0.453)
161: (1.000, 0.456)
162: (1.000, 0.459)
163: (1.000, 0.462)
164: (1.000, 0.464)
165: (1.000, 0.467)
166: (1.000, 0.470)
167: (1.000, 0.473)
168: (1.000, 0.476)
169: (1.000, 0.479)
170: (0.999, 0.482)
171: (0.999, 0.484)
172: (1.000, 0.487)
173: (1.000, 0.490)
174: (1.000, 0.493)
175: (1.000, 0.496)
176: (1.000, 0.499)
177: (1.000, 0.501)
178: (1.000, 0.504)
179: (1.000, 0.507)
180: (1.000, 0.510)
181: (1.000, 0.513)
182: (1.000, 0.516)
183: (1.000, 0.518)
184: (1.000, 0.521)
185: (1.000, 0.524)
186: (1.000, 0.527)
187: (1.000, 0.530)
188: (1.000, 0.533)
189: (1.000, 0.536)
190: (1.000, 0.538)
191: (1.000, 0.541)
192: (1.000, 0.544)
193: (1.000, 0.547)
194: (1.000, 0.550)
195: (1.000, 0.553)
196: (1.000, 0.555)
197: (1.000, 0.558)
198: (1.000, 0.561)
199: (1.000, 0.564)
200: (1.000, 0.567)
201: (1.000, 0.570)
202: (1.000, 0.572)
203: (1.000, 0.575)
204: (1.000, 0.578)
205: (1.000, 0.581)
206: (1.000, 0.584)
207: (1.000, 0.587)
208: (1.000, 0.589)
209: (1.000, 0.592)
210: (1.000, 0.595)
211: (1.000, 0.598)
212: (1.000, 0.601)
213: (1.000, 0.604)
214: (1.000, 0.607)
215: (1.000, 0.609)
216: (1.000, 0.612)
217: (1.000, 0.615)
218: (1.000, 0.618)
219: (1.000, 0.621)
220: (1.000, 0.624)
221: (1.000, 0.626)
222: (1.000, 0.629)
223: (1.000, 0.632)
224: (1.000, 0.635)
225: (1.000, 0.638)
226: (1.000, 0.641)
227: (1.000, 0.643)
228: (1.000, 0.646)
229: (1.000, 0.649)
230: (1.000, 0.652)
231: (1.000, 0.655)
232: (0.999, 0.658)
233: (0.998, 0.661)
234: (0.997, 0.663)
235: (0.996, 0.666)
236: (0.997, 0.669)
237: (0.998, 0.672)
238: (0.999, 0.675)
239: (0.999, 0.678)
240: (0.999, 0.680)
241: (0.999, 0.683)
242: (0.999, 0.685)
243: (0.999, 0.686)
244: (0.999, 0.689)
245: (1.000, 0.692)
246: (1.000, 0.695)
247: (1.000, 0.697)
248: (1.000, 0.700)
249: (1.000, 0.703)
250: (1.000, 0.706)
251: (1.000, 0.709)
252: (1.000, 0.712)
253: (1.000, 0.714)
254: (1.000, 0.717)
255: (1.000, 0.720)
256: (1.000, 0.723)
257: (1.000, 0.726)
258: (1.000, 0.729)
259: (1.000, 0.732)
260: (0.999, 0.734)
261: (1.000, 0.737)
262: (1.000, 0.740)
263: (1.000, 0.743)
264: (1.000, 0.746)
265: (1.000, 0.749)
266: (1.000, 0.751)
267: (1.000, 0.754)
268: (1.000, 0.757)
269: (1.000, 0.760)
270: (1.000, 0.763)
271: (1.000, 0.766)
272: (1.000, 0.768)
273: (1.000, 0.771)
274: (1.000, 0.774)
275: (1.000, 0.777)
276: (1.000, 0.780)
277: (1.000, 0.783)
278: (1.000, 0.786)
279: (1.000, 0.788)
280: (1.000, 0.791)
281: (1.000, 0.794)
282: (1.000, 0.797)
283: (1.000, 0.800)
284: (1.000, 0.803)
285: (1.000, 0.805)
286: (1.000, 0.808)
287: (1.000, 0.811)
288: (1.000, 0.814)
289: (1.000, 0.817)
290: (1.000, 0.820)
291: (1.000, 0.822)
292: (1.000, 0.825)
293: (1.000, 0.828)
294: (1.000, 0.831)
295: (1.000, 0.834)
296: (1.000, 0.837)
297: (1.000, 0.839)
298: (1.000, 0.842)
299: (1.000, 0.845)
300: (1.000, 0.848)
301: (0.999, 0.850)
302: (0.997, 0.851)
303: (0.997, 0.851)
304: (0.995, 0.851)
305: (0.995, 0.850)
306: (0.997, 0.850)
307: (0.997, 0.848)
308: (0.995, 0.846)
309: (0.994, 0.845)
310: (0.993, 0.845)
311: (0.992, 0.842)
312: (0.991, 0.842)
313: (0.989, 0.839)
314: (0.987, 0.837)
315: (0.987, 0.837)
316: (0.985, 0.836)
317: (0.984, 0.834)
318: (0.982, 0.831)
319: (0.979, 0.828)
320: (0.978, 0.825)
321: (0.976, 0.822)
322: (0.974, 0.820)
323: (0.972, 0.817)
324: (0.970, 0.815)
325: (0.969, 0.814)
326: (0.968, 0.812)
327: (0.966, 0.811)
328: (0.966, 0.811)
329: (0.964, 0.808)
330: (0.962, 0.807)
331: (0.960, 0.805)
332: (0.960, 0.803)
333: (0.958, 0.803)
334: (0.958, 0.803)
335: (0.956, 0.800)
336: (0.954, 0.797)
337: (0.952, 0.794)
338: (0.951, 0.791)
339: (0.950, 0.788)
340: (0.949, 0.788)
341: (0.948, 0.789)
342: (0.948, 0.787)
343: (0.948, 0.786)
344: (0.946, 0.785)
345: (0.944, 0.783)
346: (0.942, 0.780)
347: (0.940, 0.781)
348: (0.939, 0.780)
349: (0.940, 0.779)
350: (0.942, 0.779)
351: (0.944, 0.777)
352: (0.946, 0.777)
353: (0.948, 0.778)
354: (0.950, 0.778)
355: (0.952, 0.777)
356: (0.954, 0.777)
357: (0.956, 0.777)
358: (0.956, 0.777)
359: (0.958, 0.777)
360: (0.960, 0.777)
361: (0.962, 0.778)
362: (0.964, 0.778)
363: (0.966, 0.777)
364: (0.968, 0.774)
365: (0.970, 0.772)
366: (0.972, 0.772)
367: (0.973, 0.771)
368: (0.974, 0.771)
369: (0.976, 0.769)
370: (0.978, 0.767)
371: (0.979, 0.766)
372: (0.980, 0.766)
373: (0.981, 0.764)
374: (0.983, 0.763)
375: (0.983, 0.761)
376: (0.985, 0.760)
377: (0.987, 0.757)
378: (0.988, 0.754)
379: (0.989, 0.752)
380: (0.990, 0.751)
381: (0.989, 0.751)
382: (0.987, 0.749)
383: (0.987, 0.747)
384: (0.987, 0.749)
385: (0.985, 0.749)
386: (0.985, 0.749)
387: (0.985, 0.746)
388: (0.984, 0.743)
389: (0.983, 0.743)
390: (0.983, 0.746)
391: (0.981, 0.748)
392: (0.981, 0.749)
393: (0.979, 0.751)
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1601: (0.067, -0.000)
1602: (0.069, -0.000)
1603: (0.071, -0.000)
1604: (0.073, -0.000)
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1606: (0.077, -0.000)
1607: (0.079, -0.000)
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1610: (0.085, -0.000)
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1612: (0.089, -0.000)
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1614: (0.093, -0.000)
1615: (0.095, -0.000)
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1620: (0.104, -0.000)
1621: (0.106, -0.000)
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1628: (0.120, -0.000)
1629: (0.122, -0.000)
1630: (0.124, -0.000)
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1632: (0.128, -0.000)
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1640: (0.144, -0.000)
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1649: (0.161, -0.000)
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1652: (0.167, -0.000)
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1656: (0.175, -0.000)
1657: (0.177, -0.000)
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1709: (0.278, -0.000)
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1727: (0.313, -0.000)
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1757: (0.372, -0.000)
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1759: (0.376, -0.000)
1760: (0.378, -0.000)
1761: (0.380, -0.000)
1762: (0.382, -0.000)
1763: (0.384, -0.000)
1764: (0.386, -0.000)
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1769: (0.396, -0.000)
1770: (0.397, -0.000)
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1772: (0.401, -0.000)
1773: (0.403, -0.000)
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1778: (0.413, -0.000)
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1796: (0.448, -0.000)
1797: (0.450, -0.000)
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1799: (0.454, -0.000)
1800: (0.456, -0.000)
1801: (0.458, -0.000)
1802: (0.460, -0.000)
1803: (0.462, 0.001)
1804: (0.462, 0.004)
1805: (0.462, 0.007)
1806: (0.462, 0.010)
1807: (0.461, 0.013)
1808: (0.461, 0.016)
1809: (0.461, 0.018)
1810: (0.461, 0.021)
1811: (0.461, 0.024)
1812: (0.461, 0.027)
1813: (0.461, 0.030)
1814: (0.461, 0.033)
1815: (0.461, 0.036)
1816: (0.461, 0.038)
1817: (0.461, 0.041)
1818: (0.461, 0.044)
1819: (0.461, 0.047)
1820: (0.461, 0.050)
1821: (0.461, 0.053)
1822: (0.461, 0.055)
1823: (0.461, 0.058)
1824: (0.461, 0.061)
1825: (0.461, 0.064)
1826: (0.461, 0.067)
1827: (0.461, 0.070)
1828: (0.461, 0.072)
1829: (0.461, 0.075)
1830: (0.461, 0.078)
1831: (0.461, 0.081)
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1833: (0.461, 0.087)
1834: (0.461, 0.089)
1835: (0.461, 0.092)
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1839: (0.462, 0.104)
1840: (0.462, 0.104)
1841: (0.463, 0.107)
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1844: (0.465, 0.115)
1845: (0.466, 0.118)
1846: (0.467, 0.121)
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1849: (0.469, 0.126)
1850: (0.470, 0.127)
1851: (0.471, 0.129)
1852: (0.471, 0.132)
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1855: (0.474, 0.136)
1856: (0.475, 0.138)
1857: (0.476, 0.138)
1858: (0.478, 0.138)
1859: (0.479, 0.136)
1860: (0.481, 0.135)
1861: (0.481, 0.132)
1862: (0.482, 0.135)
1863: (0.481, 0.138)
1864: (0.481, 0.140)
1865: (0.482, 0.141)
1866: (0.483, 0.141)
1867: (0.485, 0.141)
1868: (0.483, 0.138)
1869: (0.483, 0.138)
1870: (0.483, 0.137)
1871: (0.485, 0.136)
1872: (0.486, 0.135)
1873: (0.485, 0.132)
1874: (0.485, 0.129)
1875: (0.485, 0.126)
1876: (0.485, 0.126)
1877: (0.487, 0.124)
1878: (0.487, 0.121)
1879: (0.488, 0.118)
1880: (0.489, 0.115)
1881: (0.489, 0.112)
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1884: (0.491, 0.104)
1885: (0.492, 0.101)
1886: (0.492, 0.098)
1887: (0.493, 0.095)
1888: (0.494, 0.092)
1889: (0.494, 0.089)
1890: (0.495, 0.087)
1891: (0.495, 0.084)
1892: (0.496, 0.081)
1893: (0.496, 0.078)
1894: (0.496, 0.075)
1895: (0.495, 0.072)
1896: (0.495, 0.070)
1897: (0.495, 0.067)
1898: (0.495, 0.064)
1899: (0.495, 0.061)
1900: (0.495, 0.060)
1901: (0.495, 0.058)
1902: (0.496, 0.055)
1903: (0.496, 0.053)
1904: (0.497, 0.051)
1905: (0.497, 0.050)
1906: (0.499, 0.047)
1907: (0.499, 0.046)
1908: (0.499, 0.044)
1909: (0.500, 0.041)
1910: (0.501, 0.039)
1911: (0.501, 0.036)
1912: (0.501, 0.033)
1913: (0.502, 0.030)
1914: (0.502, 0.027)
1915: (0.503, 0.024)
1916: (0.503, 0.022)
1917: (0.503, 0.018)
1918: (0.503, 0.016)
1919: (0.504, 0.013)
1920: (0.505, 0.010)
1921: (0.505, 0.009)
1922: (0.507, 0.007)
1923: (0.505, 0.004)
1924: (0.505, 0.002)
1925: (0.503, 0.004)
1926: (0.504, 0.007)
1927: (0.503, 0.008)
1928: (0.503, 0.007)
1929: (0.503, 0.004)
1930: (0.503, 0.001)
1931: (0.505, 0.001)
1932: (0.507, 0.002)
1933: (0.508, 0.001)
1934: (0.509, 0.001)
1935: (0.511, 0.000)
1936: (0.513, 0.001)
1937: (0.514, 0.001)
1938: (0.517, -0.000)
1939: (0.519, -0.000)
1940: (0.521, -0.000)
1941: (0.522, -0.000)
1942: (0.524, -0.000)
1943: (0.526, -0.000)
1944: (0.528, -0.000)
1945: (0.530, -0.000)
1946: (0.532, -0.000)
1947: (0.534, -0.000)
1948: (0.536, -0.000)
1949: (0.538, -0.000)
1950: (0.540, -0.000)
1951: (0.542, -0.000)
1952: (0.544, -0.000)
1953: (0.546, -0.000)
1954: (0.548, -0.000)
1955: (0.550, -0.000)
1956: (0.552, -0.000)
1957: (0.554, -0.000)
1958: (0.556, -0.000)
1959: (0.558, -0.000)
1960: (0.560, -0.000)
1961: (0.562, -0.000)
1962: (0.563, -0.000)
1963: (0.565, -0.000)
1964: (0.567, -0.000)
1965: (0.569, -0.000)
1966: (0.571, -0.000)
1967: (0.573, -0.000)
1968: (0.575, -0.000)
1969: (0.577, -0.000)
1970: (0.579, -0.000)
1971: (0.581, -0.000)
1972: (0.583, -0.000)
1973: (0.585, -0.000)
1974: (0.587, -0.000)
1975: (0.589, -0.000)
1976: (0.591, -0.000)
1977: (0.593, -0.000)
1978: (0.595, -0.000)
1979: (0.597, -0.000)
1980: (0.599, -0.000)
1981: (0.601, -0.000)
1982: (0.603, -0.000)
1983: (0.604, -0.000)
1984: (0.606, -0.000)
1985: (0.608, -0.000)
1986: (0.610, -0.000)
1987: (0.612, -0.000)
1988: (0.614, -0.000)
1989: (0.616, -0.000)
1990: (0.618, -0.000)
1991: (0.620, -0.000)
1992: (0.622, -0.000)
1993: (0.624, -0.000)
1994: (0.626, -0.000)
1995: (0.628, -0.000)
1996: (0.630, -0.000)
1997: (0.632, -0.000)
1998: (0.634, -0.000)
1999: (0.636, -0.000)
2000: (0.638, -0.000)
2001: (0.640, -0.000)
2002: (0.642, -0.000)
2003: (0.644, -0.000)
2004: (0.646, -0.000)
2005: (0.647, -0.000)
2006: (0.649, -0.000)
2007: (0.651, -0.000)
2008: (0.653, -0.000)
2009: (0.655, -0.000)
2010: (0.657, -0.000)
2011: (0.659, -0.000)
2012: (0.661, -0.000)
2013: (0.663, -0.000)
2014: (0.665, -0.000)
2015: (0.667, -0.000)
2016: (0.669, -0.000)
2017: (0.671, -0.000)
2018: (0.673, -0.000)
2019: (0.675, -0.000)
2020: (0.677, -0.000)
2021: (0.679, -0.000)
2022: (0.681, -0.000)
2023: (0.683, -0.000)
2024: (0.685, -0.000)
2025: (0.687, -0.000)
2026: (0.688, -0.000)
2027: (0.690, -0.000)
2028: (0.692, -0.000)
2029: (0.694, -0.000)
2030: (0.696, -0.000)
2031: (0.698, -0.000)
2032: (0.700, -0.000)
2033: (0.702, -0.000)
2034: (0.704, -0.000)
2035: (0.706, -0.000)
2036: (0.708, -0.000)
2037: (0.710, -0.000)
2038: (0.712, -0.000)
2039: (0.714, -0.000)
2040: (0.716, -0.000)
2041: (0.718, -0.000)
2042: (0.720, -0.000)
2043: (0.722, -0.000)
2044: (0.724, -0.000)
2045: (0.726, -0.000)
2046: (0.728, -0.000)
2047: (0.729, -0.000)
2048: (0.731, -0.000)
2049: (0.733, -0.000)
2050: (0.735, -0.000)
2051: (0.737, -0.000)
2052: (0.739, -0.000)
2053: (0.741, -0.000)
2054: (0.743, -0.000)
2055: (0.745, -0.000)
2056: (0.747, -0.000)
2057: (0.749, -0.000)
2058: (0.751, -0.000)
2059: (0.753, -0.000)
2060: (0.755, -0.000)
2061: (0.757, -0.000)
2062: (0.759, -0.000)
2063: (0.761, -0.000)
2064: (0.763, -0.000)
2065: (0.765, -0.000)
2066: (0.767, -0.000)
2067: (0.769, -0.000)
2068: (0.771, -0.000)
2069: (0.772, -0.000)
2070: (0.774, -0.000)
2071: (0.776, -0.000)
2072: (0.778, -0.000)
2073: (0.780, -0.000)
2074: (0.782, -0.000)
2075: (0.784, -0.000)
2076: (0.786, -0.000)
2077: (0.788, -0.000)
2078: (0.790, -0.000)
2079: (0.792, -0.000)
2080: (0.794, -0.000)
2081: (0.796, -0.000)
2082: (0.798, -0.000)
2083: (0.800, -0.000)
2084: (0.802, -0.000)
2085: (0.804, -0.000)
2086: (0.806, -0.000)
2087: (0.808, -0.000)
2088: (0.810, -0.000)
2089: (0.812, -0.000)
2090: (0.813, -0.000)
2091: (0.815, -0.000)
2092: (0.817, -0.000)
2093: (0.819, -0.000)
2094: (0.821, -0.000)
2095: (0.823, -0.000)
2096: (0.825, -0.000)
2097: (0.827, -0.000)
2098: (0.829, -0.000)
2099: (0.831, -0.000)
2100: (0.833, -0.000)
2101: (0.835, -0.000)
2102: (0.837, -0.000)
2103: (0.839, -0.000)
2104: (0.841, -0.000)
2105: (0.843, -0.000)
2106: (0.845, -0.000)
2107: (0.847, -0.000)
2108: (0.849, -0.000)
2109: (0.851, -0.000)
2110: (0.853, -0.000)
2111: (0.854, -0.000)
2112: (0.856, -0.000)
2113: (0.858, -0.000)
2114: (0.860, -0.000)
2115: (0.862, -0.000)
2116: (0.864, -0.000)
2117: (0.866, -0.000)
2118: (0.868, -0.000)
2119: (0.870, -0.000)
2120: (0.872, -0.000)
2121: (0.874, -0.000)
2122: (0.876, -0.000)
2123: (0.878, -0.000)
2124: (0.880, -0.000)
2125: (0.882, -0.000)
2126: (0.884, -0.000)
2127: (0.886, -0.000)
2128: (0.888, -0.000)
2129: (0.890, -0.000)
2130: (0.892, -0.000)
2131: (0.894, -0.000)
2132: (0.896, -0.000)
2133: (0.897, -0.000)
2134: (0.899, -0.000)
2135: (0.901, -0.000)
2136: (0.903, -0.000)
2137: (0.905, -0.000)
2138: (0.907, -0.000)
2139: (0.909, -0.000)
2140: (0.911, -0.000)
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2143: (0.917, -0.000)
2144: (0.919, -0.000)
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2147: (0.925, -0.000)
2148: (0.927, -0.000)
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2150: (0.931, -0.000)
2151: (0.933, -0.000)
2152: (0.935, -0.000)
2153: (0.937, -0.000)
2154: (0.938, -0.000)
2155: (0.940, -0.000)
2156: (0.942, -0.000)
2157: (0.944, -0.000)
2158: (0.946, -0.000)
2159: (0.948, -0.000)
2160: (0.950, -0.000)
2161: (0.952, -0.000)
2162: (0.954, -0.000)
2163: (0.956, -0.000)
2164: (0.958, -0.000)
2165: (0.960, -0.000)
2166: (0.962, -0.000)
2167: (0.964, -0.000)
2168: (0.966, -0.000)
2169: (0.968, -0.000)
2170: (0.970, -0.000)
2171: (0.972, -0.000)
2172: (0.974, -0.000)
2173: (0.976, -0.000)
2174: (0.978, -0.000)
2175: (0.979, -0.000)
2176: (0.981, -0.000)
2177: (0.983, -0.000)
2178: (0.985, -0.000)
2179: (0.987, -0.000)
2180: (0.989, -0.000)
2181: (0.991, -0.000)
2182: (0.993, -0.000)
2183: (0.995, -0.000)
2184: (0.997, -0.000)
2185: (0.999, -0.000)
path 9 — 19 points —
1: (0.474, 0.001) 2: (0.473, 0.004) 3: (0.473, 0.007) 4: (0.472, 0.010) 5: (0.472, 0.012) 6: (0.471, 0.013) 7: (0.471, 0.016) 8: (0.470, 0.018) 9: (0.470, 0.021) 10: (0.468, 0.022) 11: (0.466, 0.021) 12: (0.467, 0.018) 13: (0.467, 0.016) 14: (0.468, 0.013) 15: (0.468, 0.010) 16: (0.468, 0.007) 17: (0.468, 0.004) 18: (0.469, 0.001) 19: (0.472, 0.000)
path 10 — 134 points —
1: (0.493, 0.001) 2: (0.493, 0.004) 3: (0.493, 0.007) 4: (0.493, 0.010) 5: (0.493, 0.013) 6: (0.491, 0.015) 7: (0.491, 0.018) 8: (0.490, 0.021) 9: (0.491, 0.024) 10: (0.490, 0.027) 11: (0.489, 0.029) 12: (0.489, 0.030) 13: (0.489, 0.033) 14: (0.489, 0.036) 15: (0.487, 0.038) 16: (0.487, 0.041) 17: (0.487, 0.044) 18: (0.487, 0.047) 19: (0.487, 0.050) 20: (0.487, 0.053)
show all 114 more points
21: (0.487, 0.055)
22: (0.487, 0.058)
23: (0.486, 0.061)
24: (0.486, 0.064)
25: (0.486, 0.067)
26: (0.487, 0.070)
27: (0.486, 0.072)
28: (0.485, 0.075)
29: (0.485, 0.075)
30: (0.483, 0.077)
31: (0.483, 0.078)
32: (0.483, 0.081)
33: (0.483, 0.084)
34: (0.483, 0.087)
35: (0.483, 0.089)
36: (0.481, 0.092)
37: (0.480, 0.089)
38: (0.479, 0.089)
39: (0.478, 0.087)
40: (0.476, 0.089)
41: (0.478, 0.091)
42: (0.479, 0.092)
43: (0.481, 0.093)
44: (0.483, 0.095)
45: (0.483, 0.098)
46: (0.483, 0.101)
47: (0.483, 0.103)
48: (0.484, 0.104)
49: (0.483, 0.106)
50: (0.483, 0.107)
51: (0.484, 0.109)
52: (0.483, 0.111)
53: (0.483, 0.112)
54: (0.483, 0.113)
55: (0.484, 0.115)
56: (0.483, 0.117)
57: (0.482, 0.118)
58: (0.482, 0.121)
59: (0.481, 0.118)
60: (0.480, 0.115)
61: (0.479, 0.115)
62: (0.479, 0.115)
63: (0.478, 0.118)
64: (0.478, 0.120)
65: (0.477, 0.118)
66: (0.477, 0.115)
67: (0.477, 0.112)
68: (0.477, 0.109)
69: (0.477, 0.107)
70: (0.477, 0.104)
71: (0.477, 0.101)
72: (0.478, 0.099)
73: (0.478, 0.098)
74: (0.476, 0.098)
75: (0.474, 0.095)
76: (0.475, 0.092)
77: (0.475, 0.089)
78: (0.475, 0.087)
79: (0.475, 0.084)
80: (0.476, 0.082)
81: (0.476, 0.081)
82: (0.476, 0.078)
83: (0.476, 0.075)
84: (0.477, 0.072)
85: (0.477, 0.070)
86: (0.478, 0.067)
87: (0.478, 0.064)
88: (0.478, 0.061)
89: (0.478, 0.058)
90: (0.479, 0.055)
91: (0.479, 0.053)
92: (0.479, 0.050)
93: (0.479, 0.048)
94: (0.480, 0.047)
95: (0.480, 0.044)
96: (0.481, 0.041)
97: (0.481, 0.038)
98: (0.482, 0.036)
99: (0.483, 0.033)
100: (0.484, 0.030)
101: (0.484, 0.027)
102: (0.484, 0.024)
103: (0.484, 0.021)
104: (0.484, 0.018)
105: (0.484, 0.016)
106: (0.484, 0.013)
107: (0.483, 0.012)
108: (0.482, 0.013)
109: (0.482, 0.016)
110: (0.482, 0.018)
111: (0.483, 0.021)
112: (0.483, 0.024)
113: (0.481, 0.027)
114: (0.480, 0.024)
115: (0.480, 0.021)
116: (0.479, 0.021)
117: (0.478, 0.018)
118: (0.479, 0.016)
119: (0.481, 0.016)
120: (0.481, 0.013)
121: (0.479, 0.011)
122: (0.479, 0.010)
123: (0.479, 0.009)
124: (0.480, 0.007)
125: (0.479, 0.005)
126: (0.479, 0.004)
127: (0.479, 0.003)
128: (0.480, 0.001)
129: (0.481, 0.000)
130: (0.483, 0.001)
131: (0.485, 0.001)
132: (0.487, 0.001)
133: (0.489, -0.000)
134: (0.491, -0.000)
⊟Feature print (embedding)768-D · float
Fixed-length descriptor (image embedding). Used for similarity / dedup via cosine distance. Sparkline shows the first 64 of 768 dimensions.
first 8 values: 0.002,0.013,0.116,0.092,-0.047,-0.009,-0.011,0.003
{} Raw JSON 14 capability runs · on-device
Every Vision pass auge ran on this image. Click a file to see the full, un-truncated output (vector embeddings, full landmark points, every contour point — exactly what auge produced):
Wikimedia source
Multilingual sign - Macau
attention 1 · 62%
multilingual 2010 Public Domain

Multilingual sign - Macau

Chinese, Portuguese, and English on a single Macau sign. With --langs, auge handles all three scripts in one OCR pass.

$ auge --all --langs en-US,pt-PT,zh-Hant --enhance multilingual-sign.png
A OCR 14 lines · 175 chars 
Hotéis
Hotels
Informações
Information
Agências de Viagens
Travel Agencies
Hoteis
酒店
Informacoes
詢問處
旅行案內所
Agencias de Viagens
旅行社
旅行代理店
# Classify 10 labels
material
37%
raw_glass
37%
structure
28%
sign
28%
fence
13%
art
7%
decoration
7%
frame
7%
conveyance
5%
easel
5%
▦ Barcodes none
No barcodes or QR codes detected.
☻ Faces 0 detected
No faces detected.
⨯Face landmarks0 faces
No faces detected, so no landmarks.
⌒Animals (cat/dog)0 detected
No cats or dogs detected by VNRecognizeAnimalsRequest. (The recognizer is conservative — paintings, distant or partial subjects often score below threshold.)
🐾Animal pose0 animals
No animal body poses detected.
⩎Body pose0 bodies
No human body poses detected.
✋Hand pose0 hands
No hands detected.
★Aesthetics0.138
utility shot
overallScore range −1.00 utility → +1.00 memorable · 56.9% along scale
●Lens smudge0.13%
clean lens
confidence 0.001312255859375 · 0% clean · 100% smudged
◉Saliency · attention1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 62.0% confidence — bbox=(0.032, 0.229, 0.941, 0.578)
◉Saliency · objectness2 regions
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 38.6% confidence — bbox=(0.096, 0.401, 0.409, 0.250)
region 2 — 55.7% confidence — bbox=(0.207, 0.308, 0.786, 0.353)
▱Quadrilaterals2 detected
2 four-cornered shapes — paper, screens, signs. Outlined on the image above.
rect 1 — 100.0% confidence — corners tl(0.631,0.588) tr(0.706,0.982) bl(0.903,0.535) br(1.035,0.982)
rect 2 — 100.0% confidence — corners tl(0.488,0.611) tr(0.547,0.982) bl(0.622,0.588) br(0.697,0.982)
▭Text regions10 detected
Lightweight text-region detector (just bounding boxes — no recognition). Boxes drawn on the image above.
region 1 — 100.0% confidence — bbox=(0.108, 0.586, 0.091, 0.051)
region 2 — 100.0% confidence — bbox=(0.113, 0.497, 0.068, 0.038)
region 3 — 100.0% confidence — bbox=(0.101, 0.448, 0.091, 0.049)
region 4 — 100.0% confidence — bbox=(0.363, 0.525, 0.165, 0.067)
region 5 — 100.0% confidence — bbox=(0.414, 0.483, 0.063, 0.049)
region 6 — 100.0% confidence — bbox=(0.393, 0.430, 0.102, 0.051)
region 7 — 100.0% confidence — bbox=(0.367, 0.382, 0.151, 0.057)
region 8 — 100.0% confidence — bbox=(0.666, 0.452, 0.261, 0.089)
region 9 — 100.0% confidence — bbox=(0.737, 0.372, 0.093, 0.049)
region 10 — 100.0% confidence — bbox=(0.691, 0.311, 0.201, 0.075)
⏤Horizon5.13°
5.13° tilted
0.0894 rad · red line drawn on image above · the small preview is rotated by -5.12° to make the horizon level.
rotated to level horizon
corrected (rotated by -5.12°) — the red dotted line is true horizontal.
∿Contours104 total · 61 top-level
Vector edge contours of detected shapes. 32 paths drawn on the image above (sampled from top-level).
path 1 — 4 points —
1: (0.542, 0.922) 2: (0.542, 0.923) 3: (0.542, 0.922) 4: (0.542, 0.920)
path 2 — 30 points —
1: (0.487, 0.988) 2: (0.489, 0.989) 3: (0.491, 0.990) 4: (0.493, 0.991) 5: (0.494, 0.991) 6: (0.494, 0.995) 7: (0.493, 0.996) 8: (0.492, 0.998) 9: (0.491, 0.999) 10: (0.489, 1.000) 11: (0.487, 1.000) 12: (0.485, 1.000) 13: (0.483, 1.000) 14: (0.481, 1.000) 15: (0.479, 1.000) 16: (0.478, 1.000) 17: (0.476, 1.000) 18: (0.474, 1.000) 19: (0.472, 0.999) 20: (0.470, 0.998)
show all 10 more points
21: (0.471, 0.995)
22: (0.472, 0.994)
23: (0.473, 0.991)
24: (0.474, 0.991)
25: (0.476, 0.988)
26: (0.478, 0.986)
27: (0.479, 0.984)
28: (0.481, 0.985)
29: (0.483, 0.986)
30: (0.485, 0.986)
path 3 — 80 points —
1: (0.429, 0.963) 2: (0.431, 0.964) 3: (0.433, 0.964) 4: (0.435, 0.965) 5: (0.437, 0.965) 6: (0.438, 0.967) 7: (0.438, 0.970) 8: (0.437, 0.973) 9: (0.435, 0.974) 10: (0.435, 0.975) 11: (0.433, 0.977) 12: (0.431, 0.981) 13: (0.430, 0.984) 14: (0.431, 0.984) 15: (0.433, 0.985) 16: (0.435, 0.985) 17: (0.437, 0.986) 18: (0.438, 0.987) 19: (0.440, 0.988) 20: (0.442, 0.988)
show all 60 more points
21: (0.444, 0.989)
22: (0.446, 0.990)
23: (0.448, 0.991)
24: (0.448, 0.992)
25: (0.450, 0.992)
26: (0.452, 0.993)
27: (0.454, 0.994)
28: (0.455, 0.995)
29: (0.456, 0.995)
30: (0.458, 0.996)
31: (0.460, 0.997)
32: (0.462, 0.998)
33: (0.460, 0.999)
34: (0.458, 1.000)
35: (0.456, 1.000)
36: (0.454, 1.000)
37: (0.452, 1.000)
38: (0.450, 1.000)
39: (0.448, 1.000)
40: (0.446, 1.000)
41: (0.444, 1.000)
42: (0.442, 1.000)
43: (0.440, 1.000)
44: (0.438, 1.000)
45: (0.437, 1.000)
46: (0.435, 1.000)
47: (0.433, 1.000)
48: (0.431, 1.000)
49: (0.429, 1.000)
50: (0.427, 1.000)
51: (0.425, 1.000)
52: (0.423, 1.000)
53: (0.421, 0.999)
54: (0.420, 0.998)
55: (0.421, 0.997)
56: (0.421, 0.995)
57: (0.423, 0.992)
58: (0.424, 0.991)
59: (0.425, 0.990)
60: (0.426, 0.988)
61: (0.427, 0.987)
62: (0.429, 0.984)
63: (0.427, 0.981)
64: (0.425, 0.980)
65: (0.423, 0.980)
66: (0.421, 0.979)
67: (0.419, 0.978)
68: (0.418, 0.977)
69: (0.417, 0.977)
70: (0.415, 0.976)
71: (0.413, 0.974)
72: (0.415, 0.971)
73: (0.417, 0.968)
74: (0.418, 0.967)
75: (0.419, 0.965)
76: (0.420, 0.963)
77: (0.421, 0.963)
78: (0.423, 0.961)
79: (0.425, 0.961)
80: (0.427, 0.962)
path 4 — 4 points —
1: (0.540, 0.911) 2: (0.540, 0.913) 3: (0.540, 0.911) 4: (0.540, 0.910)
path 5 — 4 points —
1: (0.523, 0.800) 2: (0.523, 0.803) 3: (0.523, 0.807) 4: (0.522, 0.803)
path 6 — 4 points —
1: (0.446, 0.796) 2: (0.444, 0.798) 3: (0.444, 0.796) 4: (0.444, 0.794)
path 7 — 36 points —
1: (0.287, 0.706) 2: (0.286, 0.706) 3: (0.284, 0.706) 4: (0.282, 0.706) 5: (0.280, 0.706) 6: (0.278, 0.707) 7: (0.276, 0.707) 8: (0.274, 0.707) 9: (0.272, 0.707) 10: (0.271, 0.707) 11: (0.269, 0.708) 12: (0.267, 0.708) 13: (0.265, 0.708) 14: (0.263, 0.707) 15: (0.261, 0.706) 16: (0.259, 0.706) 17: (0.257, 0.707) 18: (0.255, 0.707) 19: (0.253, 0.706) 20: (0.255, 0.705)
show all 16 more points
21: (0.257, 0.705)
22: (0.259, 0.705)
23: (0.261, 0.705)
24: (0.263, 0.705)
25: (0.265, 0.704)
26: (0.267, 0.704)
27: (0.269, 0.704)
28: (0.271, 0.704)
29: (0.272, 0.704)
30: (0.274, 0.704)
31: (0.276, 0.704)
32: (0.278, 0.704)
33: (0.280, 0.704)
34: (0.282, 0.704)
35: (0.284, 0.705)
36: (0.286, 0.704)
path 8 — 8 points —
1: (0.293, 0.716) 2: (0.292, 0.716) 3: (0.290, 0.717) 4: (0.288, 0.717) 5: (0.286, 0.716) 6: (0.288, 0.714) 7: (0.290, 0.714) 8: (0.292, 0.715)
path 9 — 4 points —
1: (0.535, 0.876) 2: (0.534, 0.878) 3: (0.534, 0.876) 4: (0.534, 0.874)
path 10 — 5 points —
1: (0.525, 0.810) 2: (0.525, 0.814) 3: (0.524, 0.817) 4: (0.524, 0.814) 5: (0.524, 0.810)
path 11 — 79 points —
1: (0.452, 0.862) 2: (0.454, 0.863) 3: (0.456, 0.864) 4: (0.458, 0.865) 5: (0.460, 0.866) 6: (0.461, 0.866) 7: (0.462, 0.866) 8: (0.464, 0.867) 9: (0.466, 0.868) 10: (0.468, 0.869) 11: (0.469, 0.869) 12: (0.472, 0.870) 13: (0.474, 0.871) 14: (0.476, 0.871) 15: (0.478, 0.872) 16: (0.479, 0.872) 17: (0.480, 0.873) 18: (0.481, 0.874) 19: (0.483, 0.875) 20: (0.484, 0.876)
show all 59 more points
21: (0.483, 0.877)
22: (0.481, 0.879)
23: (0.479, 0.882)
24: (0.479, 0.883)
25: (0.478, 0.885)
26: (0.476, 0.887)
27: (0.478, 0.889)
28: (0.479, 0.890)
29: (0.481, 0.891)
30: (0.483, 0.892)
31: (0.485, 0.893)
32: (0.487, 0.894)
33: (0.489, 0.895)
34: (0.491, 0.897)
35: (0.489, 0.900)
36: (0.488, 0.901)
37: (0.487, 0.903)
38: (0.487, 0.904)
39: (0.485, 0.906)
40: (0.483, 0.907)
41: (0.481, 0.907)
42: (0.479, 0.906)
43: (0.478, 0.905)
44: (0.476, 0.904)
45: (0.476, 0.904)
46: (0.474, 0.903)
47: (0.472, 0.903)
48: (0.470, 0.902)
49: (0.469, 0.901)
50: (0.469, 0.897)
51: (0.472, 0.895)
52: (0.473, 0.894)
53: (0.474, 0.892)
54: (0.475, 0.890)
55: (0.475, 0.887)
56: (0.474, 0.885)
57: (0.472, 0.885)
58: (0.470, 0.884)
59: (0.468, 0.883)
60: (0.466, 0.882)
61: (0.464, 0.882)
62: (0.462, 0.881)
63: (0.460, 0.881)
64: (0.458, 0.880)
65: (0.456, 0.879)
66: (0.454, 0.878)
67: (0.452, 0.877)
68: (0.450, 0.877)
69: (0.450, 0.876)
70: (0.448, 0.876)
71: (0.446, 0.875)
72: (0.444, 0.874)
73: (0.444, 0.873)
74: (0.444, 0.871)
75: (0.445, 0.869)
76: (0.446, 0.867)
77: (0.448, 0.866)
78: (0.448, 0.865)
79: (0.450, 0.863)
path 12 — 5 points —
1: (0.445, 0.747) 2: (0.445, 0.751) 3: (0.442, 0.751) 4: (0.442, 0.747) 5: (0.442, 0.747)
path 13 — 6 points —
1: (0.446, 0.761) 2: (0.444, 0.763) 3: (0.442, 0.762) 4: (0.441, 0.761) 5: (0.442, 0.760) 6: (0.444, 0.760)
path 14 — 4 points —
1: (0.445, 0.737) 2: (0.442, 0.738) 3: (0.441, 0.737) 4: (0.442, 0.736)
path 15 — 12 points —
1: (0.307, 0.702) 2: (0.306, 0.703) 3: (0.304, 0.703) 4: (0.302, 0.703) 5: (0.300, 0.703) 6: (0.298, 0.703) 7: (0.297, 0.702) 8: (0.298, 0.702) 9: (0.300, 0.701) 10: (0.302, 0.702) 11: (0.304, 0.701) 12: (0.306, 0.701)
path 16 — 6 points —
1: (0.445, 0.713) 2: (0.444, 0.714) 3: (0.442, 0.713) 4: (0.441, 0.713) 5: (0.442, 0.712) 6: (0.444, 0.711)
path 17 — 4 points —
1: (0.369, 0.699) 2: (0.368, 0.699) 3: (0.366, 0.699) 4: (0.368, 0.698)
path 18 — 24 points —
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path 19 — 273 points —
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show all 3155 more points
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1505: (0.169, 0.054)
1506: (0.169, 0.057)
1507: (0.170, 0.061)
1508: (0.171, 0.064)
1509: (0.171, 0.068)
1510: (0.171, 0.071)
1511: (0.170, 0.075)
1512: (0.170, 0.078)
1513: (0.171, 0.080)
1514: (0.172, 0.082)
1515: (0.173, 0.085)
1516: (0.173, 0.089)
1517: (0.172, 0.092)
1518: (0.172, 0.096)
1519: (0.173, 0.098)
1520: (0.174, 0.099)
1521: (0.174, 0.103)
1522: (0.174, 0.106)
1523: (0.174, 0.110)
1524: (0.174, 0.113)
1525: (0.175, 0.117)
1526: (0.176, 0.120)
1527: (0.176, 0.124)
1528: (0.176, 0.127)
1529: (0.176, 0.131)
1530: (0.177, 0.132)
1531: (0.178, 0.134)
1532: (0.178, 0.138)
1533: (0.178, 0.141)
1534: (0.178, 0.145)
1535: (0.178, 0.148)
1536: (0.179, 0.152)
1537: (0.180, 0.155)
1538: (0.179, 0.159)
1539: (0.179, 0.162)
1540: (0.181, 0.166)
1541: (0.181, 0.169)
1542: (0.182, 0.172)
1543: (0.181, 0.174)
1544: (0.180, 0.176)
1545: (0.181, 0.177)
1546: (0.182, 0.179)
1547: (0.183, 0.183)
1548: (0.184, 0.186)
1549: (0.183, 0.188)
1550: (0.182, 0.190)
1551: (0.182, 0.193)
1552: (0.183, 0.195)
1553: (0.184, 0.197)
1554: (0.185, 0.200)
1555: (0.186, 0.204)
1556: (0.187, 0.207)
1557: (0.188, 0.207)
1558: (0.190, 0.209)
1559: (0.192, 0.211)
1560: (0.193, 0.214)
1561: (0.190, 0.215)
1562: (0.188, 0.213)
1563: (0.187, 0.211)
1564: (0.186, 0.214)
1565: (0.186, 0.218)
1566: (0.186, 0.221)
1567: (0.186, 0.225)
1568: (0.186, 0.228)
1569: (0.186, 0.232)
1570: (0.187, 0.233)
1571: (0.188, 0.235)
1572: (0.190, 0.235)
1573: (0.192, 0.235)
1574: (0.193, 0.235)
1575: (0.192, 0.237)
1576: (0.190, 0.238)
1577: (0.189, 0.239)
1578: (0.190, 0.241)
1579: (0.192, 0.240)
1580: (0.194, 0.242)
1581: (0.192, 0.244)
1582: (0.191, 0.246)
1583: (0.190, 0.247)
1584: (0.190, 0.249)
1585: (0.190, 0.252)
1586: (0.192, 0.252)
1587: (0.194, 0.254)
1588: (0.196, 0.255)
1589: (0.198, 0.253)
1590: (0.200, 0.254)
1591: (0.201, 0.253)
1592: (0.200, 0.251)
1593: (0.199, 0.249)
1594: (0.198, 0.249)
1595: (0.196, 0.247)
1596: (0.194, 0.246)
1597: (0.195, 0.242)
1598: (0.195, 0.239)
1599: (0.196, 0.238)
1600: (0.198, 0.238)
1601: (0.200, 0.238)
1602: (0.202, 0.238)
1603: (0.204, 0.238)
1604: (0.206, 0.238)
1605: (0.208, 0.238)
1606: (0.209, 0.235)
1607: (0.209, 0.232)
1608: (0.210, 0.228)
1609: (0.209, 0.225)
1610: (0.209, 0.221)
1611: (0.210, 0.220)
1612: (0.211, 0.221)
1613: (0.212, 0.222)
1614: (0.214, 0.223)
1615: (0.216, 0.224)
1616: (0.217, 0.225)
1617: (0.220, 0.226)
1618: (0.222, 0.226)
1619: (0.224, 0.226)
1620: (0.226, 0.227)
1621: (0.228, 0.228)
1622: (0.229, 0.228)
1623: (0.231, 0.229)
1624: (0.233, 0.229)
1625: (0.235, 0.229)
1626: (0.237, 0.230)
1627: (0.239, 0.230)
1628: (0.241, 0.230)
1629: (0.243, 0.231)
1630: (0.245, 0.231)
1631: (0.247, 0.231)
1632: (0.249, 0.232)
1633: (0.251, 0.232)
1634: (0.253, 0.233)
1635: (0.255, 0.233)
1636: (0.257, 0.233)
1637: (0.259, 0.233)
1638: (0.261, 0.233)
1639: (0.263, 0.233)
1640: (0.265, 0.234)
1641: (0.267, 0.235)
1642: (0.269, 0.236)
1643: (0.271, 0.236)
1644: (0.272, 0.237)
1645: (0.274, 0.237)
1646: (0.276, 0.239)
1647: (0.278, 0.240)
1648: (0.280, 0.240)
1649: (0.282, 0.241)
1650: (0.284, 0.242)
1651: (0.286, 0.243)
1652: (0.288, 0.244)
1653: (0.290, 0.245)
1654: (0.292, 0.247)
1655: (0.294, 0.247)
1656: (0.296, 0.249)
1657: (0.298, 0.251)
1658: (0.300, 0.253)
1659: (0.302, 0.254)
1660: (0.304, 0.256)
1661: (0.306, 0.257)
1662: (0.308, 0.260)
1663: (0.310, 0.261)
1664: (0.311, 0.263)
1665: (0.313, 0.265)
1666: (0.314, 0.267)
1667: (0.315, 0.268)
1668: (0.317, 0.270)
1669: (0.319, 0.272)
1670: (0.320, 0.274)
1671: (0.321, 0.275)
1672: (0.323, 0.277)
1673: (0.323, 0.278)
1674: (0.325, 0.280)
1675: (0.326, 0.280)
1676: (0.327, 0.282)
1677: (0.328, 0.284)
1678: (0.329, 0.285)
1679: (0.330, 0.287)
1680: (0.331, 0.289)
1681: (0.333, 0.291)
1682: (0.335, 0.293)
1683: (0.336, 0.294)
1684: (0.337, 0.297)
1685: (0.337, 0.298)
1686: (0.339, 0.300)
1687: (0.340, 0.301)
1688: (0.341, 0.303)
1689: (0.342, 0.305)
1690: (0.343, 0.306)
1691: (0.344, 0.308)
1692: (0.345, 0.310)
1693: (0.346, 0.312)
1694: (0.347, 0.313)
1695: (0.348, 0.315)
1696: (0.350, 0.319)
1697: (0.353, 0.322)
1698: (0.354, 0.325)
1699: (0.355, 0.326)
1700: (0.356, 0.327)
1701: (0.358, 0.329)
1702: (0.358, 0.331)
1703: (0.360, 0.333)
1704: (0.360, 0.334)
1705: (0.362, 0.336)
1706: (0.362, 0.338)
1707: (0.364, 0.340)
1708: (0.364, 0.341)
1709: (0.366, 0.343)
1710: (0.368, 0.347)
1711: (0.370, 0.348)
1712: (0.372, 0.347)
1713: (0.374, 0.344)
1714: (0.376, 0.344)
1715: (0.378, 0.343)
1716: (0.379, 0.343)
1717: (0.378, 0.342)
1718: (0.377, 0.340)
1719: (0.376, 0.337)
1720: (0.378, 0.335)
1721: (0.380, 0.334)
1722: (0.382, 0.335)
1723: (0.384, 0.335)
1724: (0.386, 0.336)
1725: (0.384, 0.339)
1726: (0.383, 0.340)
1727: (0.382, 0.342)
1728: (0.381, 0.343)
1729: (0.384, 0.343)
1730: (0.385, 0.343)
1731: (0.386, 0.343)
1732: (0.388, 0.342)
1733: (0.390, 0.341)
1734: (0.392, 0.341)
1735: (0.394, 0.341)
1736: (0.396, 0.340)
1737: (0.397, 0.340)
1738: (0.399, 0.340)
1739: (0.401, 0.340)
1740: (0.403, 0.340)
1741: (0.405, 0.340)
1742: (0.407, 0.340)
1743: (0.409, 0.339)
1744: (0.411, 0.338)
1745: (0.413, 0.338)
1746: (0.415, 0.337)
1747: (0.417, 0.337)
1748: (0.419, 0.337)
1749: (0.421, 0.336)
1750: (0.420, 0.333)
1751: (0.419, 0.329)
1752: (0.419, 0.326)
1753: (0.419, 0.322)
1754: (0.418, 0.319)
1755: (0.417, 0.315)
1756: (0.417, 0.312)
1757: (0.416, 0.308)
1758: (0.416, 0.305)
1759: (0.416, 0.301)
1760: (0.416, 0.298)
1761: (0.415, 0.294)
1762: (0.414, 0.291)
1763: (0.414, 0.287)
1764: (0.413, 0.284)
1765: (0.412, 0.280)
1766: (0.412, 0.277)
1767: (0.411, 0.274)
1768: (0.411, 0.272)
1769: (0.410, 0.270)
1770: (0.410, 0.267)
1771: (0.410, 0.263)
1772: (0.409, 0.261)
1773: (0.409, 0.260)
1774: (0.408, 0.256)
1775: (0.408, 0.253)
1776: (0.407, 0.249)
1777: (0.406, 0.246)
1778: (0.406, 0.242)
1779: (0.406, 0.239)
1780: (0.405, 0.235)
1781: (0.404, 0.232)
1782: (0.404, 0.228)
1783: (0.404, 0.225)
1784: (0.403, 0.223)
1785: (0.403, 0.221)
1786: (0.402, 0.218)
1787: (0.402, 0.214)
1788: (0.401, 0.211)
1789: (0.400, 0.207)
1790: (0.400, 0.204)
1791: (0.400, 0.200)
1792: (0.399, 0.199)
1793: (0.399, 0.197)
1794: (0.398, 0.193)
1795: (0.398, 0.190)
1796: (0.397, 0.187)
1797: (0.396, 0.183)
1798: (0.396, 0.179)
1799: (0.396, 0.176)
1800: (0.394, 0.172)
1801: (0.394, 0.169)
1802: (0.394, 0.166)
1803: (0.394, 0.162)
1804: (0.394, 0.160)
1805: (0.393, 0.159)
1806: (0.392, 0.155)
1807: (0.392, 0.152)
1808: (0.392, 0.149)
1809: (0.391, 0.148)
1810: (0.390, 0.145)
1811: (0.390, 0.141)
1812: (0.390, 0.138)
1813: (0.388, 0.134)
1814: (0.388, 0.131)
1815: (0.388, 0.127)
1816: (0.388, 0.125)
1817: (0.386, 0.120)
1818: (0.386, 0.117)
1819: (0.386, 0.113)
1820: (0.386, 0.111)
1821: (0.385, 0.110)
1822: (0.384, 0.106)
1823: (0.384, 0.103)
1824: (0.384, 0.099)
1825: (0.382, 0.096)
1826: (0.382, 0.092)
1827: (0.382, 0.089)
1828: (0.381, 0.085)
1829: (0.380, 0.082)
1830: (0.380, 0.078)
1831: (0.380, 0.075)
1832: (0.380, 0.073)
1833: (0.379, 0.071)
1834: (0.378, 0.068)
1835: (0.378, 0.064)
1836: (0.378, 0.061)
1837: (0.376, 0.057)
1838: (0.376, 0.054)
1839: (0.376, 0.051)
1840: (0.375, 0.047)
1841: (0.374, 0.044)
1842: (0.374, 0.040)
1843: (0.374, 0.038)
1844: (0.374, 0.037)
1845: (0.373, 0.033)
1846: (0.373, 0.030)
1847: (0.373, 0.026)
1848: (0.372, 0.025)
1849: (0.371, 0.023)
1850: (0.371, 0.019)
1851: (0.372, 0.016)
1852: (0.372, 0.012)
1853: (0.370, 0.012)
1854: (0.369, 0.009)
1855: (0.370, 0.006)
1856: (0.370, 0.005)
1857: (0.370, 0.003)
1858: (0.369, 0.002)
1859: (0.370, 0.002)
1860: (0.372, 0.001)
1861: (0.374, -0.000)
1862: (0.376, 0.002)
1863: (0.376, 0.005)
1864: (0.377, 0.009)
1865: (0.377, 0.012)
1866: (0.378, 0.016)
1867: (0.378, 0.018)
1868: (0.378, 0.019)
1869: (0.379, 0.023)
1870: (0.379, 0.026)
1871: (0.380, 0.030)
1872: (0.381, 0.033)
1873: (0.381, 0.037)
1874: (0.382, 0.040)
1875: (0.382, 0.041)
1876: (0.383, 0.044)
1877: (0.383, 0.047)
1878: (0.383, 0.051)
1879: (0.383, 0.054)
1880: (0.384, 0.056)
1881: (0.385, 0.057)
1882: (0.385, 0.061)
1883: (0.385, 0.064)
1884: (0.386, 0.068)
1885: (0.387, 0.071)
1886: (0.387, 0.075)
1887: (0.387, 0.078)
1888: (0.389, 0.082)
1889: (0.389, 0.085)
1890: (0.389, 0.089)
1891: (0.389, 0.092)
1892: (0.391, 0.096)
1893: (0.391, 0.099)
1894: (0.391, 0.103)
1895: (0.392, 0.104)
1896: (0.393, 0.106)
1897: (0.393, 0.110)
1898: (0.393, 0.113)
1899: (0.394, 0.116)
1900: (0.395, 0.120)
1901: (0.395, 0.124)
1902: (0.395, 0.127)
1903: (0.396, 0.130)
1904: (0.396, 0.131)
1905: (0.397, 0.134)
1906: (0.397, 0.138)
1907: (0.397, 0.141)
1908: (0.397, 0.142)
1909: (0.398, 0.145)
1910: (0.399, 0.148)
1911: (0.399, 0.152)
1912: (0.399, 0.153)
1913: (0.400, 0.155)
1914: (0.401, 0.159)
1915: (0.401, 0.162)
1916: (0.401, 0.165)
1917: (0.403, 0.169)
1918: (0.403, 0.172)
1919: (0.403, 0.176)
1920: (0.403, 0.179)
1921: (0.405, 0.183)
1922: (0.405, 0.186)
1923: (0.405, 0.190)
1924: (0.405, 0.191)
1925: (0.406, 0.193)
1926: (0.407, 0.197)
1927: (0.407, 0.200)
1928: (0.407, 0.202)
1929: (0.408, 0.204)
1930: (0.409, 0.207)
1931: (0.409, 0.211)
1932: (0.409, 0.214)
1933: (0.409, 0.217)
1934: (0.410, 0.218)
1935: (0.411, 0.221)
1936: (0.411, 0.225)
1937: (0.411, 0.228)
1938: (0.413, 0.232)
1939: (0.413, 0.235)
1940: (0.413, 0.239)
1941: (0.413, 0.240)
1942: (0.414, 0.242)
1943: (0.415, 0.246)
1944: (0.415, 0.249)
1945: (0.415, 0.253)
1946: (0.416, 0.256)
1947: (0.416, 0.260)
1948: (0.417, 0.263)
1949: (0.417, 0.266)
1950: (0.418, 0.270)
1951: (0.418, 0.274)
1952: (0.419, 0.277)
1953: (0.420, 0.280)
1954: (0.420, 0.284)
1955: (0.420, 0.287)
1956: (0.421, 0.289)
1957: (0.422, 0.291)
1958: (0.422, 0.294)
1959: (0.422, 0.298)
1960: (0.422, 0.301)
1961: (0.423, 0.303)
1962: (0.424, 0.305)
1963: (0.424, 0.308)
1964: (0.424, 0.312)
1965: (0.425, 0.314)
1966: (0.425, 0.315)
1967: (0.426, 0.319)
1968: (0.426, 0.322)
1969: (0.426, 0.326)
1970: (0.427, 0.327)
1971: (0.428, 0.329)
1972: (0.429, 0.332)
1973: (0.431, 0.331)
1974: (0.433, 0.330)
1975: (0.435, 0.330)
1976: (0.437, 0.330)
1977: (0.438, 0.330)
1978: (0.440, 0.330)
1979: (0.442, 0.330)
1980: (0.443, 0.329)
1981: (0.443, 0.326)
1982: (0.443, 0.322)
1983: (0.443, 0.319)
1984: (0.443, 0.315)
1985: (0.442, 0.312)
1986: (0.442, 0.308)
1987: (0.440, 0.305)
1988: (0.440, 0.301)
1989: (0.440, 0.298)
1990: (0.440, 0.295)
1991: (0.441, 0.298)
1992: (0.441, 0.301)
1993: (0.442, 0.304)
1994: (0.443, 0.301)
1995: (0.443, 0.298)
1996: (0.443, 0.294)
1997: (0.443, 0.291)
1998: (0.442, 0.289)
1999: (0.442, 0.287)
2000: (0.442, 0.284)
2001: (0.442, 0.280)
2002: (0.441, 0.277)
2003: (0.441, 0.274)
2004: (0.441, 0.270)
2005: (0.441, 0.267)
2006: (0.441, 0.263)
2007: (0.441, 0.260)
2008: (0.441, 0.256)
2009: (0.441, 0.253)
2010: (0.441, 0.249)
2011: (0.441, 0.246)
2012: (0.441, 0.242)
2013: (0.441, 0.239)
2014: (0.441, 0.235)
2015: (0.441, 0.232)
2016: (0.441, 0.228)
2017: (0.441, 0.225)
2018: (0.441, 0.221)
2019: (0.441, 0.218)
2020: (0.441, 0.214)
2021: (0.441, 0.211)
2022: (0.441, 0.207)
2023: (0.441, 0.204)
2024: (0.440, 0.200)
2025: (0.440, 0.197)
2026: (0.440, 0.193)
2027: (0.440, 0.190)
2028: (0.440, 0.186)
2029: (0.440, 0.183)
2030: (0.440, 0.179)
2031: (0.439, 0.176)
2032: (0.440, 0.172)
2033: (0.439, 0.169)
2034: (0.439, 0.166)
2035: (0.439, 0.162)
2036: (0.439, 0.159)
2037: (0.439, 0.155)
2038: (0.439, 0.152)
2039: (0.439, 0.148)
2040: (0.439, 0.145)
2041: (0.439, 0.141)
2042: (0.439, 0.138)
2043: (0.439, 0.134)
2044: (0.439, 0.131)
2045: (0.439, 0.127)
2046: (0.439, 0.124)
2047: (0.439, 0.120)
2048: (0.439, 0.117)
2049: (0.439, 0.113)
2050: (0.439, 0.110)
2051: (0.439, 0.106)
2052: (0.439, 0.103)
2053: (0.439, 0.099)
2054: (0.439, 0.096)
2055: (0.439, 0.092)
2056: (0.439, 0.089)
2057: (0.439, 0.085)
2058: (0.438, 0.083)
2059: (0.438, 0.082)
2060: (0.438, 0.078)
2061: (0.438, 0.075)
2062: (0.438, 0.071)
2063: (0.437, 0.068)
2064: (0.437, 0.064)
2065: (0.437, 0.061)
2066: (0.437, 0.057)
2067: (0.437, 0.054)
2068: (0.437, 0.051)
2069: (0.437, 0.047)
2070: (0.437, 0.044)
2071: (0.437, 0.040)
2072: (0.437, 0.037)
2073: (0.437, 0.033)
2074: (0.437, 0.030)
2075: (0.437, 0.026)
2076: (0.437, 0.023)
2077: (0.437, 0.019)
2078: (0.437, 0.016)
2079: (0.437, 0.012)
2080: (0.437, 0.009)
2081: (0.437, 0.005)
2082: (0.437, 0.002)
2083: (0.438, -0.000)
2084: (0.440, -0.000)
2085: (0.442, 0.000)
2086: (0.444, 0.002)
2087: (0.444, 0.005)
2088: (0.444, 0.009)
2089: (0.444, 0.012)
2090: (0.444, 0.016)
2091: (0.444, 0.019)
2092: (0.444, 0.023)
2093: (0.444, 0.026)
2094: (0.444, 0.030)
2095: (0.444, 0.033)
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1: (0.429, 0.225) 2: (0.429, 0.228) 3: (0.429, 0.232) 4: (0.428, 0.228) 5: (0.428, 0.225) 6: (0.429, 0.223)
path 31 — 73 points —
1: (0.580, 0.075) 2: (0.580, 0.078) 3: (0.580, 0.082) 4: (0.580, 0.085) 5: (0.580, 0.089) 6: (0.580, 0.092) 7: (0.579, 0.096) 8: (0.579, 0.099) 9: (0.579, 0.103) 10: (0.579, 0.106) 11: (0.579, 0.110) 12: (0.579, 0.113) 13: (0.579, 0.117) 14: (0.579, 0.120) 15: (0.579, 0.123) 16: (0.579, 0.127) 17: (0.579, 0.131) 18: (0.579, 0.134) 19: (0.579, 0.138) 20: (0.579, 0.141)
show all 53 more points
21: (0.579, 0.145)
22: (0.579, 0.148)
23: (0.579, 0.152)
24: (0.579, 0.155)
25: (0.579, 0.159)
26: (0.579, 0.162)
27: (0.579, 0.166)
28: (0.579, 0.169)
29: (0.578, 0.172)
30: (0.578, 0.176)
31: (0.578, 0.179)
32: (0.578, 0.183)
33: (0.578, 0.186)
34: (0.577, 0.190)
35: (0.577, 0.193)
36: (0.577, 0.196)
37: (0.577, 0.193)
38: (0.577, 0.190)
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40: (0.577, 0.183)
41: (0.576, 0.179)
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44: (0.576, 0.169)
45: (0.576, 0.166)
46: (0.576, 0.162)
47: (0.576, 0.159)
48: (0.576, 0.155)
49: (0.576, 0.152)
50: (0.576, 0.148)
51: (0.576, 0.145)
52: (0.577, 0.141)
53: (0.577, 0.138)
54: (0.576, 0.134)
55: (0.577, 0.131)
56: (0.577, 0.127)
57: (0.577, 0.124)
58: (0.577, 0.120)
59: (0.577, 0.118)
60: (0.578, 0.117)
61: (0.579, 0.113)
62: (0.579, 0.110)
63: (0.579, 0.106)
64: (0.579, 0.103)
65: (0.579, 0.099)
66: (0.579, 0.096)
67: (0.579, 0.092)
68: (0.579, 0.089)
69: (0.578, 0.085)
70: (0.578, 0.082)
71: (0.579, 0.078)
72: (0.579, 0.075)
73: (0.579, 0.072)
path 32 — 6 points —
1: (0.423, 0.186) 2: (0.424, 0.190) 3: (0.424, 0.193) 4: (0.423, 0.195) 5: (0.422, 0.193) 6: (0.422, 0.190)
⊟Feature print (embedding)768-D · float
Fixed-length descriptor (image embedding). Used for similarity / dedup via cosine distance. Sparkline shows the first 64 of 768 dimensions.
first 8 values: -0.018,-0.018,0.058,-0.043,-0.009,0.092,0.029,-0.021
{} Raw JSON 14 capability runs · on-device
Every Vision pass auge ran on this image. Click a file to see the full, un-truncated output (vector embeddings, full landmark points, every contour point — exactly what auge produced):
Wikimedia source
QR code - what's behind this link?
attention 1 · 69%
barcode 2026 CC0 (locally generated with qrencode)

QR code - what's behind this link?

Most QR codes you scan in the wild, you scan blind. auge decodes the URL on-device first - so you can read the destination before your phone does. Some links are surprises. Some are jokes. This one is a 38-year-old joke that still works.

$ auge --all qr-mystery.png
A OCR no text
No text detected in this image.
# Classify 10 labels
art
7%
illustrations
7%
document
2%
chart
2%
diagram
2%
printed_page
2%
structure
1%
sign
1%
decoration
1%
frame
1%
▦ Barcodes 1 found
QR https://www.youtube.com/watch?v=dQw4w9WgXcQ
☻ Faces 0 detected
No faces detected.
⨯Face landmarks0 faces
No faces detected, so no landmarks.
⌒Animals (cat/dog)0 detected
No cats or dogs detected by VNRecognizeAnimalsRequest. (The recognizer is conservative — paintings, distant or partial subjects often score below threshold.)
🐾Animal pose0 animals
No animal body poses detected.
⩎Body pose0 bodies
No human body poses detected.
✋Hand pose0 hands
No hands detected.
★Aesthetics0.458
memorable
overallScore range −1.00 utility → +1.00 memorable · 72.9% along scale
●Lens smudge0.00%
clean lens
confidence 0 · 0% clean · 100% smudged
◉Saliency · attention1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 68.7% confidence — bbox=(0.060, 0.249, 0.878, 0.750)
◉Saliency · objectness3 regions
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 45.6% confidence — bbox=(0.063, 0.233, 0.271, 0.464)
region 2 — 48.4% confidence — bbox=(0.057, 0.237, 0.382, 0.693)
region 3 — 52.2% confidence — bbox=(0.623, 0.104, 0.268, 0.289)
▱Quadrilaterals3 detected
3 four-cornered shapes — paper, screens, signs. Outlined on the image above.
rect 1 — 100.0% confidence — corners tl(0.694,0.901) tr(0.901,0.900) bl(0.693,0.694) br(0.900,0.693)
rect 2 — 100.0% confidence — corners tl(0.099,0.306) tr(0.305,0.304) bl(0.098,0.099) br(0.305,0.098)
rect 3 — 100.0% confidence — corners tl(0.099,0.901) tr(0.305,0.900) bl(0.098,0.693) br(0.305,0.694)
▭Text regions0 detected
No text regions detected by the cheap probe.
⏤Horizonno horizon
No horizon line detected (no clear sky/ground separation).
∿Contours51 total · 8 top-level
Vector edge contours of detected shapes. 8 paths drawn on the image above (sampled from top-level).
path 1 — 336 points —
1: (0.297, 0.704) 2: (0.297, 0.706) 3: (0.297, 0.708) 4: (0.297, 0.711) 5: (0.297, 0.713) 6: (0.297, 0.715) 7: (0.297, 0.717) 8: (0.297, 0.720) 9: (0.297, 0.722) 10: (0.297, 0.724) 11: (0.297, 0.726) 12: (0.297, 0.729) 13: (0.297, 0.731) 14: (0.297, 0.733) 15: (0.297, 0.735) 16: (0.297, 0.738) 17: (0.297, 0.740) 18: (0.297, 0.742) 19: (0.297, 0.744) 20: (0.297, 0.747)
show all 316 more points
21: (0.297, 0.749)
22: (0.297, 0.751)
23: (0.297, 0.753)
24: (0.297, 0.756)
25: (0.297, 0.758)
26: (0.297, 0.760)
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31: (0.297, 0.771)
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317: (0.253, 0.703)
318: (0.256, 0.703)
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327: (0.276, 0.703)
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330: (0.283, 0.703)
331: (0.285, 0.703)
332: (0.287, 0.703)
333: (0.289, 0.703)
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336: (0.296, 0.703)
path 2 — 336 points —
1: (0.892, 0.704) 2: (0.892, 0.706) 3: (0.892, 0.708) 4: (0.892, 0.711) 5: (0.892, 0.713) 6: (0.892, 0.715) 7: (0.892, 0.717) 8: (0.892, 0.720) 9: (0.892, 0.722) 10: (0.892, 0.724) 11: (0.892, 0.726) 12: (0.892, 0.729) 13: (0.892, 0.731) 14: (0.892, 0.733) 15: (0.892, 0.735) 16: (0.892, 0.738) 17: (0.892, 0.740) 18: (0.892, 0.742) 19: (0.892, 0.744) 20: (0.892, 0.747)
show all 316 more points
21: (0.892, 0.749)
22: (0.892, 0.751)
23: (0.892, 0.753)
24: (0.892, 0.756)
25: (0.892, 0.758)
26: (0.892, 0.760)
27: (0.892, 0.762)
28: (0.892, 0.765)
29: (0.892, 0.767)
30: (0.892, 0.769)
31: (0.892, 0.771)
32: (0.892, 0.774)
33: (0.892, 0.776)
34: (0.892, 0.778)
35: (0.892, 0.780)
36: (0.892, 0.783)
37: (0.892, 0.785)
38: (0.892, 0.787)
39: (0.892, 0.789)
40: (0.892, 0.792)
41: (0.892, 0.794)
42: (0.892, 0.796)
43: (0.892, 0.798)
44: (0.892, 0.801)
45: (0.892, 0.803)
46: (0.892, 0.805)
47: (0.892, 0.807)
48: (0.892, 0.810)
49: (0.892, 0.812)
50: (0.892, 0.814)
51: (0.892, 0.816)
52: (0.892, 0.819)
53: (0.892, 0.821)
54: (0.892, 0.823)
55: (0.892, 0.825)
56: (0.892, 0.828)
57: (0.892, 0.830)
58: (0.892, 0.832)
59: (0.892, 0.834)
60: (0.892, 0.837)
61: (0.892, 0.839)
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63: (0.892, 0.843)
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91: (0.877, 0.892)
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100: (0.857, 0.892)
101: (0.855, 0.892)
102: (0.852, 0.892)
103: (0.850, 0.892)
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110: (0.834, 0.892)
111: (0.832, 0.892)
112: (0.830, 0.892)
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114: (0.825, 0.892)
115: (0.823, 0.892)
116: (0.821, 0.892)
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show all 28 more points
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show all 28 more points
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path 7 — 4680 points —
1: (0.865, 0.109) 2: (0.865, 0.111) 3: (0.865, 0.114) 4: (0.865, 0.116) 5: (0.865, 0.118) 6: (0.865, 0.120) 7: (0.865, 0.123) 8: (0.865, 0.125) 9: (0.865, 0.127) 10: (0.865, 0.130) 11: (0.865, 0.132) 12: (0.865, 0.134) 13: (0.865, 0.136) 14: (0.865, 0.139) 15: (0.865, 0.141) 16: (0.865, 0.143) 17: (0.865, 0.145) 18: (0.865, 0.148) 19: (0.865, 0.150) 20: (0.865, 0.152)
show all 4660 more points
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1706: (0.459, 0.510)
1707: (0.459, 0.508)
1708: (0.459, 0.506)
1709: (0.459, 0.503)
1710: (0.459, 0.501)
1711: (0.459, 0.499)
1712: (0.459, 0.497)
1713: (0.459, 0.494)
1714: (0.459, 0.492)
1715: (0.459, 0.490)
1716: (0.459, 0.488)
1717: (0.459, 0.485)
1718: (0.459, 0.483)
1719: (0.459, 0.481)
1720: (0.459, 0.479)
1721: (0.459, 0.476)
1722: (0.459, 0.474)
1723: (0.459, 0.472)
1724: (0.459, 0.470)
1725: (0.459, 0.467)
1726: (0.459, 0.465)
1727: (0.459, 0.463)
1728: (0.459, 0.461)
1729: (0.458, 0.459)
1730: (0.456, 0.459)
1731: (0.454, 0.459)
1732: (0.452, 0.459)
1733: (0.449, 0.459)
1734: (0.447, 0.459)
1735: (0.445, 0.459)
1736: (0.443, 0.459)
1737: (0.440, 0.459)
1738: (0.438, 0.459)
1739: (0.436, 0.459)
1740: (0.434, 0.459)
1741: (0.432, 0.461)
1742: (0.432, 0.463)
1743: (0.432, 0.465)
1744: (0.432, 0.467)
1745: (0.432, 0.470)
1746: (0.432, 0.472)
1747: (0.432, 0.474)
1748: (0.432, 0.476)
1749: (0.432, 0.479)
1750: (0.432, 0.481)
1751: (0.432, 0.483)
1752: (0.432, 0.485)
1753: (0.432, 0.488)
1754: (0.432, 0.490)
1755: (0.432, 0.492)
1756: (0.432, 0.494)
1757: (0.432, 0.497)
1758: (0.432, 0.499)
1759: (0.432, 0.501)
1760: (0.432, 0.503)
1761: (0.432, 0.506)
1762: (0.432, 0.508)
1763: (0.432, 0.510)
1764: (0.432, 0.512)
1765: (0.432, 0.515)
1766: (0.432, 0.517)
1767: (0.432, 0.519)
1768: (0.432, 0.521)
1769: (0.432, 0.524)
1770: (0.432, 0.526)
1771: (0.432, 0.528)
1772: (0.432, 0.530)
1773: (0.432, 0.533)
1774: (0.432, 0.535)
1775: (0.432, 0.537)
1776: (0.432, 0.539)
1777: (0.432, 0.542)
1778: (0.432, 0.544)
1779: (0.432, 0.546)
1780: (0.432, 0.548)
1781: (0.432, 0.551)
1782: (0.432, 0.553)
1783: (0.432, 0.555)
1784: (0.432, 0.557)
1785: (0.432, 0.560)
1786: (0.432, 0.562)
1787: (0.432, 0.564)
1788: (0.432, 0.566)
1789: (0.434, 0.568)
1790: (0.436, 0.568)
1791: (0.438, 0.568)
1792: (0.440, 0.568)
1793: (0.443, 0.568)
1794: (0.445, 0.568)
1795: (0.447, 0.568)
1796: (0.449, 0.568)
1797: (0.452, 0.568)
1798: (0.454, 0.568)
1799: (0.456, 0.568)
1800: (0.458, 0.568)
1801: (0.459, 0.566)
1802: (0.459, 0.564)
1803: (0.459, 0.562)
1804: (0.459, 0.560)
1805: (0.459, 0.557)
1806: (0.459, 0.555)
1807: (0.459, 0.553)
1808: (0.459, 0.551)
1809: (0.459, 0.548)
1810: (0.459, 0.546)
1811: (0.459, 0.544)
1812: (0.459, 0.542)
1813: (0.461, 0.541)
1814: (0.463, 0.541)
1815: (0.465, 0.541)
1816: (0.467, 0.541)
1817: (0.470, 0.541)
1818: (0.472, 0.541)
1819: (0.474, 0.541)
1820: (0.476, 0.541)
1821: (0.479, 0.541)
1822: (0.481, 0.541)
1823: (0.483, 0.541)
1824: (0.485, 0.541)
1825: (0.486, 0.542)
1826: (0.486, 0.544)
1827: (0.486, 0.546)
1828: (0.486, 0.548)
1829: (0.486, 0.551)
1830: (0.486, 0.553)
1831: (0.486, 0.555)
1832: (0.486, 0.557)
1833: (0.486, 0.560)
1834: (0.486, 0.562)
1835: (0.486, 0.564)
1836: (0.486, 0.566)
1837: (0.486, 0.569)
1838: (0.486, 0.571)
1839: (0.486, 0.573)
1840: (0.486, 0.575)
1841: (0.486, 0.578)
1842: (0.486, 0.580)
1843: (0.486, 0.582)
1844: (0.486, 0.584)
1845: (0.486, 0.587)
1846: (0.486, 0.589)
1847: (0.486, 0.591)
1848: (0.486, 0.593)
1849: (0.485, 0.595)
1850: (0.483, 0.595)
1851: (0.481, 0.595)
1852: (0.479, 0.595)
1853: (0.476, 0.595)
1854: (0.474, 0.595)
1855: (0.472, 0.595)
1856: (0.470, 0.595)
1857: (0.467, 0.595)
1858: (0.465, 0.595)
1859: (0.463, 0.595)
1860: (0.461, 0.595)
1861: (0.459, 0.596)
1862: (0.459, 0.598)
1863: (0.459, 0.600)
1864: (0.459, 0.602)
1865: (0.459, 0.605)
1866: (0.459, 0.607)
1867: (0.459, 0.609)
1868: (0.459, 0.611)
1869: (0.459, 0.614)
1870: (0.459, 0.616)
1871: (0.459, 0.618)
1872: (0.459, 0.620)
1873: (0.461, 0.622)
1874: (0.463, 0.622)
1875: (0.465, 0.622)
1876: (0.467, 0.622)
1877: (0.470, 0.622)
1878: (0.472, 0.622)
1879: (0.474, 0.622)
1880: (0.476, 0.622)
1881: (0.479, 0.622)
1882: (0.481, 0.622)
1883: (0.483, 0.622)
1884: (0.485, 0.622)
1885: (0.488, 0.622)
1886: (0.490, 0.622)
1887: (0.492, 0.622)
1888: (0.494, 0.622)
1889: (0.497, 0.622)
1890: (0.499, 0.622)
1891: (0.501, 0.622)
1892: (0.503, 0.622)
1893: (0.506, 0.622)
1894: (0.508, 0.622)
1895: (0.510, 0.622)
1896: (0.512, 0.622)
1897: (0.514, 0.623)
1898: (0.514, 0.625)
1899: (0.514, 0.627)
1900: (0.514, 0.630)
1901: (0.514, 0.632)
1902: (0.514, 0.634)
1903: (0.514, 0.636)
1904: (0.514, 0.639)
1905: (0.514, 0.641)
1906: (0.514, 0.643)
1907: (0.514, 0.645)
1908: (0.514, 0.648)
1909: (0.514, 0.650)
1910: (0.514, 0.652)
1911: (0.514, 0.654)
1912: (0.514, 0.657)
1913: (0.514, 0.659)
1914: (0.514, 0.661)
1915: (0.514, 0.663)
1916: (0.514, 0.666)
1917: (0.514, 0.668)
1918: (0.514, 0.670)
1919: (0.514, 0.672)
1920: (0.514, 0.675)
1921: (0.514, 0.677)
1922: (0.514, 0.679)
1923: (0.514, 0.681)
1924: (0.514, 0.684)
1925: (0.514, 0.686)
1926: (0.514, 0.688)
1927: (0.514, 0.690)
1928: (0.514, 0.693)
1929: (0.514, 0.695)
1930: (0.514, 0.697)
1931: (0.514, 0.699)
1932: (0.514, 0.702)
1933: (0.514, 0.704)
1934: (0.514, 0.706)
1935: (0.514, 0.708)
1936: (0.514, 0.711)
1937: (0.514, 0.713)
1938: (0.514, 0.715)
1939: (0.514, 0.717)
1940: (0.514, 0.720)
1941: (0.514, 0.722)
1942: (0.514, 0.724)
1943: (0.514, 0.726)
1944: (0.514, 0.729)
1945: (0.515, 0.730)
1946: (0.517, 0.730)
1947: (0.519, 0.730)
1948: (0.521, 0.730)
1949: (0.524, 0.730)
1950: (0.526, 0.730)
1951: (0.528, 0.730)
1952: (0.530, 0.730)
1953: (0.533, 0.730)
1954: (0.535, 0.730)
1955: (0.537, 0.730)
1956: (0.539, 0.730)
1957: (0.541, 0.729)
1958: (0.541, 0.726)
1959: (0.541, 0.724)
1960: (0.541, 0.722)
1961: (0.541, 0.720)
1962: (0.541, 0.717)
1963: (0.541, 0.715)
1964: (0.541, 0.713)
1965: (0.541, 0.711)
1966: (0.541, 0.708)
1967: (0.541, 0.706)
1968: (0.541, 0.704)
1969: (0.542, 0.703)
1970: (0.544, 0.703)
1971: (0.546, 0.703)
1972: (0.548, 0.703)
1973: (0.551, 0.703)
1974: (0.553, 0.703)
1975: (0.555, 0.703)
1976: (0.557, 0.703)
1977: (0.560, 0.703)
1978: (0.562, 0.703)
1979: (0.564, 0.703)
1980: (0.566, 0.703)
1981: (0.568, 0.702)
1982: (0.568, 0.699)
1983: (0.568, 0.697)
1984: (0.568, 0.695)
1985: (0.568, 0.693)
1986: (0.568, 0.690)
1987: (0.568, 0.688)
1988: (0.568, 0.686)
1989: (0.568, 0.684)
1990: (0.568, 0.681)
1991: (0.568, 0.679)
1992: (0.568, 0.677)
1993: (0.569, 0.676)
1994: (0.571, 0.676)
1995: (0.573, 0.676)
1996: (0.575, 0.676)
1997: (0.578, 0.676)
1998: (0.580, 0.676)
1999: (0.582, 0.676)
2000: (0.584, 0.676)
2001: (0.587, 0.676)
2002: (0.589, 0.676)
2003: (0.591, 0.676)
2004: (0.593, 0.676)
2005: (0.596, 0.676)
2006: (0.598, 0.676)
2007: (0.600, 0.676)
2008: (0.602, 0.676)
2009: (0.605, 0.676)
2010: (0.607, 0.676)
2011: (0.609, 0.676)
2012: (0.611, 0.676)
2013: (0.614, 0.676)
2014: (0.616, 0.676)
2015: (0.618, 0.676)
2016: (0.620, 0.676)
2017: (0.623, 0.676)
2018: (0.625, 0.676)
2019: (0.627, 0.676)
2020: (0.630, 0.676)
2021: (0.632, 0.676)
2022: (0.634, 0.676)
2023: (0.636, 0.676)
2024: (0.639, 0.676)
2025: (0.641, 0.676)
2026: (0.643, 0.676)
2027: (0.645, 0.676)
2028: (0.648, 0.676)
2029: (0.649, 0.677)
2030: (0.649, 0.679)
2031: (0.649, 0.681)
2032: (0.649, 0.684)
2033: (0.649, 0.686)
2034: (0.649, 0.688)
2035: (0.649, 0.690)
2036: (0.649, 0.693)
2037: (0.649, 0.695)
2038: (0.649, 0.697)
2039: (0.649, 0.699)
2040: (0.649, 0.702)
2041: (0.650, 0.703)
2042: (0.652, 0.703)
2043: (0.654, 0.703)
2044: (0.657, 0.703)
2045: (0.659, 0.703)
2046: (0.661, 0.703)
2047: (0.663, 0.703)
2048: (0.666, 0.703)
2049: (0.668, 0.703)
2050: (0.670, 0.703)
2051: (0.672, 0.703)
2052: (0.675, 0.703)
2053: (0.676, 0.704)
2054: (0.676, 0.706)
2055: (0.676, 0.708)
2056: (0.676, 0.711)
2057: (0.676, 0.713)
2058: (0.676, 0.715)
2059: (0.676, 0.717)
2060: (0.676, 0.720)
2061: (0.676, 0.722)
2062: (0.676, 0.724)
2063: (0.676, 0.726)
2064: (0.676, 0.729)
2065: (0.675, 0.730)
2066: (0.672, 0.730)
2067: (0.670, 0.730)
2068: (0.668, 0.730)
2069: (0.666, 0.730)
2070: (0.663, 0.730)
2071: (0.661, 0.730)
2072: (0.659, 0.730)
2073: (0.657, 0.730)
2074: (0.654, 0.730)
2075: (0.652, 0.730)
2076: (0.650, 0.730)
2077: (0.649, 0.731)
2078: (0.649, 0.733)
2079: (0.649, 0.735)
2080: (0.649, 0.738)
2081: (0.649, 0.740)
2082: (0.649, 0.742)
2083: (0.649, 0.744)
2084: (0.649, 0.747)
2085: (0.649, 0.749)
2086: (0.649, 0.751)
2087: (0.649, 0.753)
2088: (0.649, 0.756)
2089: (0.648, 0.757)
2090: (0.645, 0.757)
2091: (0.643, 0.757)
2092: (0.641, 0.757)
2093: (0.639, 0.757)
2094: (0.636, 0.757)
2095: (0.634, 0.757)
2096: (0.632, 0.757)
2097: (0.630, 0.757)
2098: (0.627, 0.757)
2099: (0.625, 0.757)
2100: (0.623, 0.757)
2101: (0.622, 0.758)
2102: (0.622, 0.760)
2103: (0.622, 0.762)
2104: (0.622, 0.765)
2105: (0.622, 0.767)
2106: (0.622, 0.769)
2107: (0.622, 0.771)
2108: (0.622, 0.774)
2109: (0.622, 0.776)
2110: (0.622, 0.778)
2111: (0.622, 0.780)
2112: (0.622, 0.783)
2113: (0.620, 0.784)
2114: (0.618, 0.784)
2115: (0.616, 0.784)
2116: (0.614, 0.784)
2117: (0.611, 0.784)
2118: (0.609, 0.784)
2119: (0.607, 0.784)
2120: (0.605, 0.784)
2121: (0.602, 0.784)
2122: (0.600, 0.784)
2123: (0.598, 0.784)
2124: (0.596, 0.784)
2125: (0.593, 0.784)
2126: (0.591, 0.784)
2127: (0.589, 0.784)
2128: (0.587, 0.784)
2129: (0.584, 0.784)
2130: (0.582, 0.784)
2131: (0.580, 0.784)
2132: (0.578, 0.784)
2133: (0.575, 0.784)
2134: (0.573, 0.784)
2135: (0.571, 0.784)
2136: (0.569, 0.784)
2137: (0.568, 0.785)
2138: (0.568, 0.787)
2139: (0.568, 0.789)
2140: (0.568, 0.792)
2141: (0.568, 0.794)
2142: (0.568, 0.796)
2143: (0.568, 0.798)
2144: (0.568, 0.801)
2145: (0.568, 0.803)
2146: (0.568, 0.805)
2147: (0.568, 0.807)
2148: (0.568, 0.810)
2149: (0.569, 0.811)
2150: (0.571, 0.811)
2151: (0.573, 0.811)
2152: (0.575, 0.811)
2153: (0.578, 0.811)
2154: (0.580, 0.811)
2155: (0.582, 0.811)
2156: (0.584, 0.811)
2157: (0.587, 0.811)
2158: (0.589, 0.811)
2159: (0.591, 0.811)
2160: (0.593, 0.811)
2161: (0.595, 0.812)
2162: (0.595, 0.814)
2163: (0.595, 0.816)
2164: (0.595, 0.819)
2165: (0.595, 0.821)
2166: (0.595, 0.823)
2167: (0.595, 0.825)
2168: (0.595, 0.828)
2169: (0.595, 0.830)
2170: (0.595, 0.832)
2171: (0.595, 0.834)
2172: (0.595, 0.837)
2173: (0.596, 0.838)
2174: (0.598, 0.838)
2175: (0.600, 0.838)
2176: (0.602, 0.838)
2177: (0.605, 0.838)
2178: (0.607, 0.838)
2179: (0.609, 0.838)
2180: (0.611, 0.838)
2181: (0.614, 0.838)
2182: (0.616, 0.838)
2183: (0.618, 0.838)
2184: (0.620, 0.838)
2185: (0.622, 0.837)
2186: (0.622, 0.834)
2187: (0.622, 0.832)
2188: (0.622, 0.830)
2189: (0.622, 0.828)
2190: (0.622, 0.825)
2191: (0.622, 0.823)
2192: (0.622, 0.821)
2193: (0.622, 0.819)
2194: (0.622, 0.816)
2195: (0.622, 0.814)
2196: (0.622, 0.812)
2197: (0.623, 0.811)
2198: (0.625, 0.811)
2199: (0.627, 0.811)
2200: (0.630, 0.811)
2201: (0.632, 0.811)
2202: (0.634, 0.811)
2203: (0.636, 0.811)
2204: (0.639, 0.811)
2205: (0.641, 0.811)
2206: (0.643, 0.811)
2207: (0.645, 0.811)
2208: (0.648, 0.811)
2209: (0.650, 0.811)
2210: (0.652, 0.811)
2211: (0.654, 0.811)
2212: (0.657, 0.811)
2213: (0.659, 0.811)
2214: (0.661, 0.811)
2215: (0.663, 0.811)
2216: (0.666, 0.811)
2217: (0.668, 0.811)
2218: (0.670, 0.811)
2219: (0.672, 0.811)
2220: (0.675, 0.811)
2221: (0.676, 0.812)
2222: (0.676, 0.814)
2223: (0.676, 0.816)
2224: (0.676, 0.819)
2225: (0.676, 0.821)
2226: (0.676, 0.823)
2227: (0.676, 0.825)
2228: (0.676, 0.828)
2229: (0.676, 0.830)
2230: (0.676, 0.832)
2231: (0.676, 0.834)
2232: (0.676, 0.837)
2233: (0.676, 0.839)
2234: (0.676, 0.841)
2235: (0.676, 0.843)
2236: (0.676, 0.846)
2237: (0.676, 0.848)
2238: (0.676, 0.850)
2239: (0.676, 0.852)
2240: (0.676, 0.855)
2241: (0.676, 0.857)
2242: (0.676, 0.859)
2243: (0.676, 0.861)
2244: (0.676, 0.864)
2245: (0.675, 0.865)
2246: (0.672, 0.865)
2247: (0.670, 0.865)
2248: (0.668, 0.865)
2249: (0.666, 0.865)
2250: (0.663, 0.865)
2251: (0.661, 0.865)
2252: (0.659, 0.865)
2253: (0.657, 0.865)
2254: (0.654, 0.865)
2255: (0.652, 0.865)
2256: (0.650, 0.865)
2257: (0.649, 0.866)
2258: (0.649, 0.868)
2259: (0.649, 0.870)
2260: (0.649, 0.873)
2261: (0.649, 0.875)
2262: (0.649, 0.877)
2263: (0.649, 0.880)
2264: (0.649, 0.882)
2265: (0.649, 0.884)
2266: (0.649, 0.886)
2267: (0.649, 0.889)
2268: (0.649, 0.891)
2269: (0.648, 0.892)
2270: (0.645, 0.892)
2271: (0.643, 0.892)
2272: (0.641, 0.892)
2273: (0.639, 0.892)
2274: (0.636, 0.892)
2275: (0.634, 0.892)
2276: (0.632, 0.892)
2277: (0.630, 0.892)
2278: (0.627, 0.892)
2279: (0.625, 0.892)
2280: (0.623, 0.892)
2281: (0.620, 0.892)
2282: (0.618, 0.892)
2283: (0.616, 0.892)
2284: (0.614, 0.892)
2285: (0.611, 0.892)
2286: (0.609, 0.892)
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4598: (0.784, 0.111)
4599: (0.784, 0.114)
4600: (0.784, 0.116)
4601: (0.784, 0.118)
4602: (0.784, 0.120)
4603: (0.784, 0.123)
4604: (0.784, 0.125)
4605: (0.784, 0.127)
4606: (0.784, 0.130)
4607: (0.784, 0.132)
4608: (0.784, 0.134)
4609: (0.784, 0.136)
4610: (0.784, 0.139)
4611: (0.784, 0.141)
4612: (0.784, 0.143)
4613: (0.784, 0.145)
4614: (0.784, 0.148)
4615: (0.784, 0.150)
4616: (0.784, 0.152)
4617: (0.784, 0.154)
4618: (0.784, 0.157)
4619: (0.784, 0.159)
4620: (0.784, 0.161)
4621: (0.785, 0.162)
4622: (0.787, 0.162)
4623: (0.789, 0.162)
4624: (0.792, 0.162)
4625: (0.794, 0.162)
4626: (0.796, 0.162)
4627: (0.798, 0.162)
4628: (0.801, 0.162)
4629: (0.803, 0.162)
4630: (0.805, 0.162)
4631: (0.807, 0.162)
4632: (0.810, 0.162)
4633: (0.812, 0.162)
4634: (0.814, 0.162)
4635: (0.816, 0.162)
4636: (0.819, 0.162)
4637: (0.821, 0.162)
4638: (0.823, 0.162)
4639: (0.825, 0.162)
4640: (0.828, 0.162)
4641: (0.830, 0.162)
4642: (0.832, 0.162)
4643: (0.834, 0.162)
4644: (0.837, 0.162)
4645: (0.838, 0.161)
4646: (0.838, 0.159)
4647: (0.838, 0.157)
4648: (0.838, 0.154)
4649: (0.838, 0.152)
4650: (0.838, 0.150)
4651: (0.838, 0.148)
4652: (0.838, 0.145)
4653: (0.838, 0.143)
4654: (0.838, 0.141)
4655: (0.838, 0.139)
4656: (0.838, 0.136)
4657: (0.838, 0.134)
4658: (0.838, 0.132)
4659: (0.838, 0.130)
4660: (0.838, 0.127)
4661: (0.838, 0.125)
4662: (0.838, 0.123)
4663: (0.838, 0.120)
4664: (0.838, 0.118)
4665: (0.838, 0.116)
4666: (0.838, 0.114)
4667: (0.838, 0.111)
4668: (0.838, 0.109)
4669: (0.839, 0.108)
4670: (0.841, 0.108)
4671: (0.843, 0.108)
4672: (0.846, 0.108)
4673: (0.848, 0.108)
4674: (0.850, 0.108)
4675: (0.852, 0.108)
4676: (0.855, 0.108)
4677: (0.857, 0.108)
4678: (0.859, 0.108)
4679: (0.861, 0.108)
4680: (0.864, 0.108)
path 8 — 72 points —
1: (0.351, 0.109) 2: (0.351, 0.111) 3: (0.351, 0.114) 4: (0.351, 0.116) 5: (0.351, 0.118) 6: (0.351, 0.120) 7: (0.351, 0.123) 8: (0.351, 0.125) 9: (0.351, 0.127) 10: (0.351, 0.130) 11: (0.351, 0.132) 12: (0.351, 0.134) 13: (0.351, 0.136) 14: (0.351, 0.139) 15: (0.351, 0.141) 16: (0.351, 0.143) 17: (0.351, 0.145) 18: (0.351, 0.148) 19: (0.351, 0.150) 20: (0.351, 0.152)
show all 52 more points
21: (0.351, 0.154)
22: (0.351, 0.157)
23: (0.351, 0.159)
24: (0.351, 0.161)
25: (0.350, 0.162)
26: (0.348, 0.162)
27: (0.346, 0.162)
28: (0.343, 0.162)
29: (0.341, 0.162)
30: (0.339, 0.162)
31: (0.337, 0.162)
32: (0.334, 0.162)
33: (0.332, 0.162)
34: (0.330, 0.162)
35: (0.328, 0.162)
36: (0.325, 0.162)
37: (0.324, 0.161)
38: (0.324, 0.159)
39: (0.324, 0.157)
40: (0.324, 0.154)
41: (0.324, 0.152)
42: (0.324, 0.150)
43: (0.324, 0.148)
44: (0.324, 0.145)
45: (0.324, 0.143)
46: (0.324, 0.141)
47: (0.324, 0.139)
48: (0.324, 0.136)
49: (0.324, 0.134)
50: (0.324, 0.132)
51: (0.324, 0.130)
52: (0.324, 0.127)
53: (0.324, 0.125)
54: (0.324, 0.123)
55: (0.324, 0.120)
56: (0.324, 0.118)
57: (0.324, 0.116)
58: (0.324, 0.114)
59: (0.324, 0.111)
60: (0.324, 0.109)
61: (0.325, 0.108)
62: (0.328, 0.108)
63: (0.330, 0.108)
64: (0.332, 0.108)
65: (0.334, 0.108)
66: (0.337, 0.108)
67: (0.339, 0.108)
68: (0.341, 0.108)
69: (0.343, 0.108)
70: (0.346, 0.108)
71: (0.348, 0.108)
72: (0.350, 0.108)
⊟Feature print (embedding)768-D · float
Fixed-length descriptor (image embedding). Used for similarity / dedup via cosine distance. Sparkline shows the first 64 of 768 dimensions.
first 8 values: -0.013,-0.01,0.034,0.052,0.031,0.021,0.031,0.016
{} Raw JSON 14 capability runs · on-device
Every Vision pass auge ran on this image. Click a file to see the full, un-truncated output (vector embeddings, full landmark points, every contour point — exactly what auge produced):
Wikimedia source
The Anatomy Lesson of Dr Nicolaes Tulp - Rembrandt, 1632
attention 1 · 65%
face 1
face 2
face 3
face 4
face 5
face 6
face 7
face 8
faces 1632 Public Domain

The Anatomy Lesson of Dr Nicolaes Tulp - Rembrandt, 1632

Rembrandt at 26, painting the Amsterdam Surgeons' Guild. Eight faces around a dissection - intimate, geometric, masterful. auge detects each one.

$ auge --all rembrandt-anatomy.jpg
A OCR no text
No text detected in this image.
# Classify 10 labels
people
61%
adult
61%
art
39%
painting
39%
clothing
27%
hat
27%
headgear
27%
fedora
27%
structure
20%
wood_processed
18%
▦ Barcodes none
No barcodes or QR codes detected.
☻ Faces 8 detected
8 faces located. Bounding boxes overlaid on the image above.
face 1: x=0.304 y=0.610 w=0.061 h=0.081
face 2: x=0.350 y=0.453 w=0.056 h=0.074
face 3: x=0.160 y=0.477 w=0.059 h=0.078
face 4: x=0.409 y=0.490 w=0.065 h=0.086
face 5: x=0.253 y=0.775 w=0.060 h=0.079
face 6: x=0.593 y=0.599 w=0.065 h=0.087
face 7: x=0.476 y=0.672 w=0.059 h=0.079
face 8: x=0.050 y=0.491 w=0.051 h=0.068
⨯Face landmarks7 faces · 76 pts each
Per-face roll / yaw / pitch (head pose) and ~76 anchor points (eyes, brows, nose, lips, jawline, pupils). Points drawn on the image above.
face 1 — bbox=(0.252, 0.775, 0.061, 0.081) — pose not reported
faceContour 17 pts (0.878, 0.722), (0.894, 0.604), (0.899, 0.483), (0.895, 0.361), (0.879, 0.240), (0.844, 0.124), (0.784, 0.019), (0.699, -0.066), (0.586, -0.106), (0.454, -0.092), (0.337, -0.034), (0.235, 0.050), (0.154, 0.155), (0.100, 0.276), (0.067, 0.405), (0.046, 0.536), (0.036, 0.667)
innerLips 6 pts (0.504, 0.238), (0.564, 0.234), (0.613, 0.244), (0.614, 0.239), (0.563, 0.229), (0.501, 0.233)
leftEye 6 pts (0.221, 0.695), (0.265, 0.733), (0.337, 0.731), (0.382, 0.696), (0.333, 0.686), (0.267, 0.679)
leftEyebrow 6 pts (0.150, 0.773), (0.263, 0.826), (0.387, 0.821), (0.386, 0.778), (0.271, 0.778), (0.159, 0.746)
leftPupil 1 pt (0.286, 0.712)
medianLine 10 pts (0.515, 0.732), (0.530, 0.645), (0.545, 0.554), (0.559, 0.466), (0.555, 0.394), (0.561, 0.268), (0.564, 0.234), (0.563, 0.229), (0.568, 0.177), (0.586, -0.106)
nose 8 pts (0.530, 0.645), (0.434, 0.507), (0.443, 0.406), (0.499, 0.405), (0.555, 0.394), (0.598, 0.410), (0.644, 0.420), (0.631, 0.519)
noseCrest 6 pts (0.515, 0.732), (0.530, 0.645), (0.545, 0.554), (0.559, 0.466), (0.468, 0.458), (0.629, 0.462)
outerLips 14 pts (0.449, 0.251), (0.488, 0.265), (0.527, 0.273), (0.561, 0.268), (0.594, 0.277), (0.626, 0.272), (0.660, 0.263), (0.691, 0.248), (0.659, 0.212), (0.616, 0.187), (0.568, 0.177), (0.511, 0.182), (0.458, 0.202), (0.413, 0.231)
rightEye 6 pts (0.762, 0.727), (0.719, 0.760), (0.649, 0.749), (0.609, 0.710), (0.657, 0.706), (0.720, 0.706)
rightEyebrow 6 pts (0.812, 0.810), (0.708, 0.846), (0.601, 0.829), (0.606, 0.787), (0.708, 0.799), (0.808, 0.782)
rightPupil 1 pt (0.692, 0.735)
face 2 — bbox=(0.595, 0.603, 0.061, 0.082) — pose not reported
faceContour 17 pts (1.167, 0.662), (1.152, 0.511), (1.130, 0.357), (1.086, 0.208), (0.996, 0.084), (0.874, -0.008), (0.735, -0.073), (0.586, -0.110), (0.430, -0.108), (0.338, -0.050), (0.285, 0.045), (0.247, 0.155), (0.225, 0.270), (0.210, 0.383), (0.203, 0.495), (0.213, 0.607), (0.236, 0.715)
innerLips 6 pts (0.387, 0.246), (0.423, 0.242), (0.499, 0.236), (0.498, 0.230), (0.423, 0.233), (0.388, 0.239)
leftEye 6 pts (0.272, 0.726), (0.307, 0.763), (0.374, 0.747), (0.413, 0.710), (0.368, 0.702), (0.309, 0.702)
leftEyebrow 6 pts (0.184, 0.849), (0.290, 0.894), (0.405, 0.866), (0.397, 0.819), (0.291, 0.841), (0.188, 0.818)
leftPupil 1 pt (0.310, 0.734)
medianLine 10 pts (0.465, 0.746), (0.436, 0.666), (0.404, 0.584), (0.374, 0.504), (0.421, 0.411), (0.424, 0.276), (0.423, 0.242), (0.423, 0.233), (0.421, 0.185), (0.430, -0.108)
nose 8 pts (0.436, 0.666), (0.383, 0.528), (0.362, 0.424), (0.391, 0.419), (0.421, 0.411), (0.480, 0.416), (0.539, 0.410), (0.548, 0.517)
noseCrest 6 pts (0.465, 0.746), (0.436, 0.666), (0.404, 0.584), (0.374, 0.504), (0.348, 0.459), (0.492, 0.474)
outerLips 14 pts (0.348, 0.261), (0.367, 0.278), (0.393, 0.287), (0.424, 0.276), (0.456, 0.280), (0.509, 0.263), (0.561, 0.239), (0.610, 0.215), (0.549, 0.195), (0.484, 0.185), (0.421, 0.185), (0.385, 0.192), (0.356, 0.213), (0.340, 0.240)
rightEye 6 pts (0.778, 0.694), (0.730, 0.732), (0.651, 0.738), (0.609, 0.696), (0.659, 0.681), (0.729, 0.675)
rightEyebrow 6 pts (0.880, 0.797), (0.733, 0.873), (0.569, 0.864), (0.572, 0.808), (0.724, 0.816), (0.869, 0.767)
rightPupil 1 pt (0.675, 0.713)
face 3 — bbox=(0.410, 0.493, 0.061, 0.081) — pose not reported
faceContour 17 pts (0.797, 0.770), (0.834, 0.660), (0.860, 0.545), (0.877, 0.428), (0.882, 0.308), (0.871, 0.188), (0.840, 0.073), (0.786, -0.029), (0.690, -0.096), (0.543, -0.110), (0.401, -0.080), (0.266, -0.021), (0.144, 0.062), (0.047, 0.172), (-0.017, 0.305), (-0.060, 0.444), (-0.096, 0.583)
innerLips 6 pts (0.550, 0.240), (0.612, 0.251), (0.655, 0.269), (0.656, 0.264), (0.615, 0.244), (0.550, 0.234)
leftEye 6 pts (0.205, 0.633), (0.245, 0.669), (0.312, 0.686), (0.359, 0.665), (0.315, 0.644), (0.253, 0.627)
leftEyebrow 6 pts (0.112, 0.694), (0.222, 0.769), (0.353, 0.790), (0.361, 0.747), (0.237, 0.720), (0.125, 0.667)
leftPupil 1 pt (0.281, 0.660)
medianLine 10 pts (0.487, 0.722), (0.519, 0.645), (0.551, 0.566), (0.582, 0.488), (0.580, 0.412), (0.601, 0.297), (0.612, 0.251), (0.615, 0.244), (0.632, 0.176), (0.690, -0.096)
nose 8 pts (0.519, 0.645), (0.433, 0.504), (0.457, 0.401), (0.517, 0.410), (0.580, 0.412), (0.616, 0.432), (0.655, 0.449), (0.622, 0.546)
noseCrest 6 pts (0.487, 0.722), (0.519, 0.645), (0.551, 0.566), (0.582, 0.488), (0.483, 0.460), (0.642, 0.485)
outerLips 14 pts (0.488, 0.245), (0.525, 0.274), (0.566, 0.296), (0.601, 0.297), (0.632, 0.313), (0.664, 0.312), (0.696, 0.304), (0.721, 0.286), (0.707, 0.238), (0.675, 0.199), (0.632, 0.176), (0.570, 0.171), (0.509, 0.183), (0.456, 0.210)
rightEye 6 pts (0.704, 0.753), (0.659, 0.771), (0.598, 0.752), (0.567, 0.715), (0.610, 0.717), (0.669, 0.728)
rightEyebrow 6 pts (0.756, 0.853), (0.653, 0.866), (0.556, 0.828), (0.568, 0.789), (0.661, 0.818), (0.757, 0.824)
rightPupil 1 pt (0.645, 0.747)
face 4 — bbox=(0.348, 0.454, 0.056, 0.075) — pose not reported
faceContour 17 pts (0.810, 0.700), (0.831, 0.582), (0.837, 0.459), (0.824, 0.338), (0.805, 0.216), (0.782, 0.093), (0.758, -0.033), (0.731, -0.152), (0.653, -0.244), (0.468, -0.248), (0.292, -0.191), (0.135, -0.097), (-0.004, 0.023), (-0.105, 0.175), (-0.148, 0.355), (-0.163, 0.539), (-0.167, 0.717)
innerLips 6 pts (0.626, 0.139), (0.713, 0.141), (0.738, 0.148), (0.735, 0.143), (0.710, 0.134), (0.622, 0.137)
leftEye 6 pts (0.338, 0.665), (0.391, 0.684), (0.466, 0.695), (0.513, 0.675), (0.462, 0.653), (0.390, 0.650)
leftEyebrow 6 pts (0.253, 0.791), (0.414, 0.865), (0.594, 0.863), (0.590, 0.801), (0.422, 0.801), (0.263, 0.757)
leftPupil 1 pt (0.435, 0.674)
medianLine 10 pts (0.690, 0.720), (0.729, 0.612), (0.773, 0.499), (0.813, 0.390), (0.721, 0.302), (0.715, 0.202), (0.713, 0.141), (0.710, 0.134), (0.704, 0.056), (0.653, -0.244)
nose 8 pts (0.729, 0.612), (0.576, 0.449), (0.580, 0.322), (0.651, 0.318), (0.721, 0.302), (0.752, 0.315), (0.783, 0.327), (0.760, 0.451)
noseCrest 6 pts (0.690, 0.720), (0.729, 0.612), (0.773, 0.499), (0.813, 0.390), (0.659, 0.381), (0.805, 0.350)
outerLips 14 pts (0.554, 0.165), (0.617, 0.190), (0.681, 0.207), (0.715, 0.202), (0.748, 0.211), (0.768, 0.197), (0.777, 0.175), (0.771, 0.152), (0.768, 0.111), (0.744, 0.076), (0.704, 0.056), (0.628, 0.064), (0.556, 0.092), (0.496, 0.132)
rightEye 6 pts (0.841, 0.719), (0.807, 0.738), (0.749, 0.726), (0.712, 0.702), (0.752, 0.693), (0.807, 0.697)
rightEyebrow 6 pts (0.961, 0.898), (0.865, 0.916), (0.766, 0.882), (0.773, 0.829), (0.866, 0.859), (0.958, 0.859)
rightPupil 1 pt (0.793, 0.718)
face 5 — bbox=(0.475, 0.670, 0.061, 0.080) — pose not reported
faceContour 17 pts (0.822, 0.682), (0.818, 0.577), (0.801, 0.471), (0.774, 0.367), (0.744, 0.264), (0.709, 0.162), (0.661, 0.065), (0.596, -0.020), (0.498, -0.059), (0.360, -0.032), (0.241, 0.042), (0.141, 0.140), (0.062, 0.257), (0.012, 0.387), (-0.005, 0.526), (-0.004, 0.665), (0.008, 0.801)
innerLips 6 pts (0.487, 0.234), (0.541, 0.225), (0.575, 0.227), (0.576, 0.222), (0.543, 0.219), (0.488, 0.229)
leftEye 6 pts (0.271, 0.743), (0.321, 0.763), (0.391, 0.752), (0.430, 0.718), (0.380, 0.712), (0.314, 0.717)
leftEyebrow 6 pts (0.236, 0.831), (0.371, 0.852), (0.503, 0.820), (0.492, 0.775), (0.368, 0.800), (0.238, 0.801)
leftPupil 1 pt (0.330, 0.744)
medianLine 10 pts (0.581, 0.723), (0.588, 0.632), (0.595, 0.536), (0.600, 0.444), (0.560, 0.382), (0.544, 0.264), (0.541, 0.225), (0.543, 0.219), (0.537, 0.159), (0.498, -0.059)
nose 8 pts (0.588, 0.632), (0.452, 0.516), (0.443, 0.414), (0.502, 0.401), (0.560, 0.382), (0.596, 0.391), (0.632, 0.400), (0.633, 0.498)
noseCrest 6 pts (0.581, 0.723), (0.588, 0.632), (0.595, 0.536), (0.600, 0.444), (0.494, 0.457), (0.635, 0.426)
outerLips 14 pts (0.438, 0.254), (0.475, 0.269), (0.515, 0.274), (0.544, 0.264), (0.575, 0.268), (0.598, 0.258), (0.617, 0.239), (0.627, 0.215), (0.608, 0.184), (0.575, 0.164), (0.537, 0.159), (0.487, 0.171), (0.441, 0.197), (0.406, 0.232)
rightEye 6 pts (0.775, 0.690), (0.740, 0.721), (0.678, 0.723), (0.637, 0.699), (0.678, 0.684), (0.735, 0.675)
rightEyebrow 6 pts (0.855, 0.767), (0.763, 0.802), (0.663, 0.798), (0.660, 0.755), (0.756, 0.754), (0.849, 0.736)
rightPupil 1 pt (0.706, 0.704)
face 6 — bbox=(0.304, 0.609, 0.062, 0.082) — pose not reported
faceContour 17 pts (0.853, 0.770), (0.867, 0.661), (0.870, 0.549), (0.865, 0.437), (0.848, 0.325), (0.812, 0.218), (0.760, 0.120), (0.691, 0.033), (0.589, -0.020), (0.447, -0.019), (0.313, 0.029), (0.193, 0.105), (0.091, 0.202), (0.017, 0.322), (-0.026, 0.454), (-0.050, 0.590), (-0.066, 0.724)
innerLips 6 pts (0.521, 0.232), (0.580, 0.239), (0.625, 0.257), (0.629, 0.257), (0.586, 0.239), (0.526, 0.232)
leftEye 6 pts (0.224, 0.679), (0.272, 0.702), (0.343, 0.707), (0.388, 0.682), (0.339, 0.666), (0.272, 0.661)
leftEyebrow 6 pts (0.140, 0.756), (0.278, 0.800), (0.421, 0.788), (0.420, 0.744), (0.283, 0.746), (0.146, 0.727)
leftPupil 1 pt (0.310, 0.690)
medianLine 10 pts (0.518, 0.703), (0.533, 0.613), (0.550, 0.520), (0.565, 0.429), (0.560, 0.374), (0.575, 0.289), (0.580, 0.239), (0.586, 0.239), (0.595, 0.166), (0.589, -0.020)
nose 8 pts (0.533, 0.613), (0.427, 0.485), (0.437, 0.383), (0.498, 0.383), (0.560, 0.374), (0.603, 0.397), (0.646, 0.418), (0.625, 0.510)
noseCrest 6 pts (0.518, 0.703), (0.533, 0.613), (0.550, 0.520), (0.565, 0.429), (0.475, 0.423), (0.623, 0.440)
outerLips 14 pts (0.464, 0.243), (0.500, 0.271), (0.540, 0.290), (0.575, 0.289), (0.608, 0.303), (0.640, 0.302), (0.672, 0.292), (0.693, 0.273), (0.675, 0.225), (0.640, 0.186), (0.595, 0.166), (0.537, 0.162), (0.481, 0.179), (0.435, 0.211)
rightEye 6 pts (0.754, 0.743), (0.710, 0.757), (0.645, 0.741), (0.608, 0.709), (0.655, 0.709), (0.718, 0.716)
rightEyebrow 6 pts (0.817, 0.837), (0.705, 0.843), (0.598, 0.804), (0.607, 0.764), (0.711, 0.793), (0.817, 0.807)
rightPupil 1 pt (0.698, 0.738)
face 7 — bbox=(0.156, 0.474, 0.063, 0.084) — pose not reported
faceContour 17 pts (0.701, 0.729), (0.744, 0.627), (0.779, 0.518), (0.798, 0.404), (0.811, 0.290), (0.821, 0.171), (0.834, 0.050), (0.849, -0.070), (0.808, -0.174), (0.640, -0.210), (0.469, -0.187), (0.305, -0.129), (0.157, -0.044), (0.038, 0.078), (-0.034, 0.234), (-0.086, 0.400), (-0.129, 0.562)
innerLips 6 pts (0.680, 0.162), (0.772, 0.180), (0.785, 0.181), (0.786, 0.154), (0.773, 0.139), (0.680, 0.127)
leftEye 6 pts (0.334, 0.627), (0.374, 0.660), (0.441, 0.679), (0.484, 0.663), (0.444, 0.632), (0.380, 0.616)
leftEyebrow 6 pts (0.250, 0.722), (0.376, 0.818), (0.533, 0.849), (0.542, 0.791), (0.396, 0.761), (0.267, 0.692)
leftPupil 1 pt (0.379, 0.651)
medianLine 10 pts (0.636, 0.741), (0.709, 0.643), (0.787, 0.542), (0.856, 0.442), (0.766, 0.338), (0.766, 0.219), (0.772, 0.180), (0.773, 0.139), (0.781, 0.073), (0.808, -0.174)
nose 8 pts (0.709, 0.643), (0.609, 0.451), (0.637, 0.337), (0.702, 0.343), (0.766, 0.338), (0.786, 0.352), (0.805, 0.369), (0.763, 0.480)
noseCrest 6 pts (0.636, 0.741), (0.709, 0.643), (0.787, 0.542), (0.856, 0.442), (0.707, 0.407), (0.834, 0.393)
outerLips 14 pts (0.602, 0.164), (0.670, 0.196), (0.736, 0.219), (0.766, 0.219), (0.795, 0.233), (0.805, 0.219), (0.805, 0.199), (0.799, 0.179), (0.814, 0.140), (0.810, 0.102), (0.781, 0.073), (0.699, 0.067), (0.614, 0.087), (0.540, 0.127)
rightEye 6 pts (0.729, 0.752), (0.695, 0.769), (0.644, 0.751), (0.621, 0.717), (0.655, 0.709), (0.704, 0.722)
rightEyebrow 6 pts (0.819, 0.924), (0.736, 0.927), (0.659, 0.887), (0.671, 0.840), (0.744, 0.874), (0.823, 0.887)
rightPupil 1 pt (0.653, 0.743)
⌒Animals (cat/dog)0 detected
No cats or dogs detected by VNRecognizeAnimalsRequest. (The recognizer is conservative — paintings, distant or partial subjects often score below threshold.)
🐾Animal pose0 animals
No animal body poses detected.
⩎Body pose6 bodies
19 named joints per body — head, ears, eyes, neck, shoulders, elbows, wrists, root, hips, knees, ankles. Skeleton drawn on the image above; per-body skeleton + every joint name and (x, y, confidence) below.
person 1 — 19 joints — avg confidence 33.9% (of 9 confident joints: 71.6%)
head 3 joints head_joint (0.284, 0.825) c=0.87 left_ear_joint (0.304, 0.834) c=0.48 right_ear_joint (0.243, 0.824) c=0.85
eyes 2 joints left_eye_joint (0.290, 0.840) c=0.91 right_eye_joint (0.269, 0.839) c=0.92
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.000, 1.000) c=0.00 left_upLeg_joint (0.000, 1.000) c=0.00
left arm 3 joints left_forearm_joint (0.375, 0.682) c=0.23 left_hand_joint (0.000, 1.000) c=0.00 left_shoulder_1_joint (0.330, 0.766) c=0.71
torso 2 joints neck_1_joint (0.283, 0.752) c=0.73 root (0.000, 1.000) c=0.00
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.000, 1.000) c=0.00 right_upLeg_joint (0.000, 1.000) c=0.00
right arm 3 joints right_forearm_joint (0.000, 1.000) c=0.00 right_hand_joint (0.000, 1.000) c=0.00 right_shoulder_1_joint (0.236, 0.738) c=0.74
person 2 — 19 joints — avg confidence 33.7% (of 15 confident joints: 42.7%)
head 3 joints head_joint (0.504, 0.717) c=0.87 left_ear_joint (0.532, 0.736) c=0.26 right_ear_joint (0.462, 0.731) c=0.86
eyes 2 joints left_eye_joint (0.518, 0.733) c=0.87 right_eye_joint (0.489, 0.732) c=0.91
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.582, 0.197) c=0.15 left_upLeg_joint (0.547, 0.507) c=0.14
left arm 3 joints left_forearm_joint (0.573, 0.574) c=0.13 left_hand_joint (0.536, 0.587) c=0.10 left_shoulder_1_joint (0.558, 0.663) c=0.65
torso 2 joints neck_1_joint (0.500, 0.665) c=0.58 root (0.522, 0.501) c=0.13
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.000, 1.000) c=0.00 right_upLeg_joint (0.496, 0.495) c=0.12
right arm 3 joints right_forearm_joint (0.454, 0.579) c=0.15 right_hand_joint (0.000, 1.000) c=0.00 right_shoulder_1_joint (0.442, 0.666) c=0.50
person 3 — 19 joints — avg confidence 31.8% (of 10 confident joints: 60.4%)
head 3 joints head_joint (0.334, 0.654) c=0.91 left_ear_joint (0.365, 0.679) c=0.34 right_ear_joint (0.288, 0.671) c=0.81
eyes 2 joints left_eye_joint (0.348, 0.673) c=0.82 right_eye_joint (0.316, 0.668) c=0.94
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.000, 1.000) c=0.00 left_upLeg_joint (0.000, 1.000) c=0.00
left arm 3 joints left_forearm_joint (0.000, 1.000) c=0.00 left_hand_joint (0.393, 0.481) c=0.11 left_shoulder_1_joint (0.406, 0.633) c=0.52
torso 2 joints neck_1_joint (0.328, 0.560) c=0.51 root (0.000, 1.000) c=0.00
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.000, 1.000) c=0.00 right_upLeg_joint (0.000, 1.000) c=0.00
right arm 3 joints right_forearm_joint (0.330, 0.404) c=0.57 right_hand_joint (0.000, 1.000) c=0.00 right_shoulder_1_joint (0.251, 0.487) c=0.49
person 4 — 19 joints — avg confidence 44.1% (of 14 confident joints: 59.8%)
head 3 joints head_joint (0.615, 0.652) c=0.93 left_ear_joint (0.675, 0.654) c=0.87 right_ear_joint (0.000, 1.000) c=0.00
eyes 2 joints left_eye_joint (0.631, 0.668) c=0.94 right_eye_joint (0.610, 0.668) c=0.86
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.000, 1.000) c=0.00 left_upLeg_joint (0.764, 0.319) c=0.13
left arm 3 joints left_forearm_joint (0.750, 0.370) c=0.38 left_hand_joint (0.634, 0.401) c=0.46 left_shoulder_1_joint (0.713, 0.550) c=0.73
torso 2 joints neck_1_joint (0.657, 0.555) c=0.74 root (0.722, 0.319) c=0.12
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.000, 1.000) c=0.00 right_upLeg_joint (0.681, 0.320) c=0.11
right arm 3 joints right_forearm_joint (0.548, 0.463) c=0.62 right_hand_joint (0.527, 0.421) c=0.72 right_shoulder_1_joint (0.602, 0.560) c=0.75
person 5 — 19 joints — avg confidence 25.0% (of 8 confident joints: 59.4%)
head 3 joints head_joint (0.084, 0.529) c=0.92 left_ear_joint (0.000, 1.000) c=0.00 right_ear_joint (0.042, 0.525) c=0.86
eyes 2 joints left_eye_joint (0.082, 0.544) c=0.28 right_eye_joint (0.073, 0.541) c=0.92
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.000, 1.000) c=0.00 left_upLeg_joint (0.000, 1.000) c=0.00
left arm 3 joints left_forearm_joint (0.000, 1.000) c=0.00 left_hand_joint (0.000, 1.000) c=0.00 left_shoulder_1_joint (0.068, 0.464) c=0.36
torso 2 joints neck_1_joint (0.056, 0.456) c=0.46 root (0.000, 1.000) c=0.00
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.000, 1.000) c=0.00 right_upLeg_joint (0.000, 1.000) c=0.00
right arm 3 joints right_forearm_joint (0.064, 0.292) c=0.41 right_hand_joint (0.000, 1.000) c=0.00 right_shoulder_1_joint (0.043, 0.449) c=0.56
person 6 — 19 joints — avg confidence 24.4% (of 11 confident joints: 42.1%)
head 3 joints head_joint (0.307, 0.358) c=0.39 left_ear_joint (0.000, 1.000) c=0.00 right_ear_joint (0.273, 0.308) c=0.46
eyes 2 joints left_eye_joint (0.306, 0.358) c=0.22 right_eye_joint (0.289, 0.352) c=0.36
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.000, 1.000) c=0.00 left_upLeg_joint (0.000, 1.000) c=0.00
left arm 3 joints left_forearm_joint (0.445, 0.446) c=0.74 left_hand_joint (0.437, 0.494) c=0.69 left_shoulder_1_joint (0.375, 0.325) c=0.14
torso 2 joints neck_1_joint (0.347, 0.306) c=0.21 root (0.000, 1.000) c=0.00
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.000, 1.000) c=0.00 right_upLeg_joint (0.000, 1.000) c=0.00
right arm 3 joints right_forearm_joint (0.347, 0.219) c=0.42 right_hand_joint (0.410, 0.200) c=0.71 right_shoulder_1_joint (0.320, 0.286) c=0.29
✋Hand pose2 hands
21 keypoints per hand (wrist + 4 per finger × 5 fingers). Chirality reported per hand. Per-hand skeleton + every joint with full (x, y, confidence) below.
hand 1 — 21 joints — avg confidence 73.9% (of 21 confident joints: 73.9%)
index 4 joints VNHLKIDIP (0.638, 0.280) c=0.79 VNHLKIMCP (0.612, 0.291) c=0.70 VNHLKIPIP (0.627, 0.285) c=0.70 VNHLKITIP (0.648, 0.278) c=0.83
middle 4 joints VNHLKMDIP (0.637, 0.269) c=0.79 VNHLKMMCP (0.610, 0.281) c=0.69 VNHLKMPIP (0.626, 0.273) c=0.81 VNHLKMTIP (0.647, 0.268) c=0.91
pinky 4 joints VNHLKPDIP (0.618, 0.256) c=0.69 VNHLKPMCP (0.600, 0.267) c=0.65 VNHLKPPIP (0.611, 0.259) c=0.73 VNHLKPTIP (0.625, 0.255) c=0.66
ring 4 joints VNHLKRDIP (0.631, 0.258) c=0.83 VNHLKRMCP (0.605, 0.273) c=0.71 VNHLKRPIP (0.620, 0.263) c=0.76 VNHLKRTIP (0.641, 0.257) c=0.84
thumb 4 joints VNHLKTCMC (0.590, 0.310) c=0.60 VNHLKTIP (0.619, 0.308) c=0.74 VNHLKTMP (0.605, 0.311) c=0.61 VNHLKTTIP (0.632, 0.308) c=0.83
wrist 1 joint VNHLKWRI (0.583, 0.296) c=0.63
hand 2 — 21 joints — avg confidence 76.2% (of 21 confident joints: 76.2%)
index 4 joints VNHLKIDIP (0.617, 0.467) c=0.86 VNHLKIMCP (0.640, 0.447) c=0.82 VNHLKIPIP (0.629, 0.466) c=0.80 VNHLKITIP (0.609, 0.467) c=0.78
middle 4 joints VNHLKMDIP (0.608, 0.459) c=0.84 VNHLKMMCP (0.635, 0.437) c=0.78 VNHLKMPIP (0.621, 0.454) c=0.81 VNHLKMTIP (0.598, 0.461) c=0.90
pinky 4 joints VNHLKPDIP (0.610, 0.427) c=0.87 VNHLKPMCP (0.624, 0.413) c=0.74 VNHLKPPIP (0.617, 0.420) c=0.80 VNHLKPTIP (0.602, 0.433) c=0.93
ring 4 joints VNHLKRDIP (0.609, 0.447) c=0.80 VNHLKRMCP (0.630, 0.426) c=0.75 VNHLKRPIP (0.621, 0.438) c=0.84 VNHLKRTIP (0.600, 0.451) c=0.91
thumb 4 joints VNHLKTCMC (0.645, 0.426) c=0.57 VNHLKTIP (0.620, 0.455) c=0.48 VNHLKTMP (0.640, 0.439) c=0.37 VNHLKTTIP (0.610, 0.467) c=0.73
wrist 1 joint VNHLKWRI (0.645, 0.402) c=0.64
★Aesthetics0.403
memorable
overallScore range −1.00 utility → +1.00 memorable · 70.1% along scale
●Lens smudge0.39%
clean lens
confidence 0.0038700103759765625 · 0% clean · 100% smudged
◉Saliency · attention1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 65.4% confidence — bbox=(0.011, 0.261, 0.759, 0.662)
◉Saliency · objectness1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 75.8% confidence — bbox=(0.017, 0.052, 0.852, 0.830)
▱Quadrilaterals0 detected
No four-cornered shapes found.
▭Text regions0 detected
No text regions detected by the cheap probe.
⏤Horizon4.00°
4.00° slight tilt
0.0698 rad · red line drawn on image above · the small preview is rotated by -4.00° to make the horizon level.
rotated to level horizon
corrected (rotated by -4.00°) — the red dotted line is true horizontal.
∿Contours54 total · 1 top-level
Vector edge contours of detected shapes. 1 path drawn on the image above (sampled from top-level).
path 1 — 1796 points —
1: (1.000, 0.001) 2: (1.000, 0.004) 3: (1.000, 0.006) 4: (1.000, 0.009) 5: (1.000, 0.012) 6: (1.000, 0.014) 7: (1.000, 0.017) 8: (1.000, 0.019) 9: (1.000, 0.022) 10: (1.000, 0.025) 11: (1.000, 0.027) 12: (1.000, 0.030) 13: (1.000, 0.032) 14: (1.000, 0.035) 15: (1.000, 0.038) 16: (1.000, 0.040) 17: (1.000, 0.043) 18: (1.000, 0.045) 19: (1.000, 0.048) 20: (1.000, 0.051)
show all 1776 more points
21: (1.000, 0.053)
22: (1.000, 0.056)
23: (1.000, 0.058)
24: (1.000, 0.061)
25: (1.000, 0.063)
26: (1.000, 0.066)
27: (1.000, 0.069)
28: (1.000, 0.071)
29: (1.000, 0.074)
30: (1.000, 0.076)
31: (1.000, 0.079)
32: (1.000, 0.082)
33: (1.000, 0.084)
34: (1.000, 0.087)
35: (1.000, 0.089)
36: (1.000, 0.092)
37: (1.000, 0.095)
38: (1.000, 0.097)
39: (1.000, 0.100)
40: (1.000, 0.102)
41: (1.000, 0.105)
42: (1.000, 0.108)
43: (1.000, 0.110)
44: (1.000, 0.113)
45: (1.000, 0.115)
46: (1.000, 0.118)
47: (1.000, 0.120)
48: (1.000, 0.123)
49: (1.000, 0.126)
50: (1.000, 0.128)
51: (1.000, 0.131)
52: (1.000, 0.133)
53: (1.000, 0.136)
54: (1.000, 0.139)
55: (1.000, 0.141)
56: (1.000, 0.144)
57: (1.000, 0.146)
58: (1.000, 0.149)
59: (1.000, 0.152)
60: (1.000, 0.154)
61: (1.000, 0.157)
62: (1.000, 0.159)
63: (1.000, 0.162)
64: (1.000, 0.165)
65: (1.000, 0.167)
66: (1.000, 0.170)
67: (1.000, 0.172)
68: (1.000, 0.175)
69: (1.000, 0.177)
70: (1.000, 0.180)
71: (1.000, 0.183)
72: (1.000, 0.185)
73: (1.000, 0.188)
74: (1.000, 0.190)
75: (1.000, 0.193)
76: (1.000, 0.196)
77: (1.000, 0.198)
78: (1.000, 0.201)
79: (1.000, 0.203)
80: (1.000, 0.206)
81: (1.000, 0.209)
82: (1.000, 0.211)
83: (1.000, 0.214)
84: (1.000, 0.216)
85: (1.000, 0.219)
86: (1.000, 0.222)
87: (1.000, 0.224)
88: (1.000, 0.227)
89: (1.000, 0.229)
90: (1.000, 0.232)
91: (1.000, 0.234)
92: (1.000, 0.237)
93: (1.000, 0.240)
94: (1.000, 0.242)
95: (1.000, 0.245)
96: (1.000, 0.247)
97: (1.000, 0.250)
98: (1.000, 0.253)
99: (1.000, 0.255)
100: (1.000, 0.258)
101: (1.000, 0.260)
102: (1.000, 0.263)
103: (1.000, 0.266)
104: (1.000, 0.268)
105: (1.000, 0.271)
106: (1.000, 0.273)
107: (1.000, 0.276)
108: (1.000, 0.278)
109: (1.000, 0.281)
110: (1.000, 0.284)
111: (1.000, 0.286)
112: (1.000, 0.289)
113: (1.000, 0.291)
114: (1.000, 0.294)
115: (1.000, 0.297)
116: (1.000, 0.299)
117: (1.000, 0.302)
118: (1.000, 0.304)
119: (1.000, 0.307)
120: (1.000, 0.310)
121: (1.000, 0.312)
122: (1.000, 0.315)
123: (1.000, 0.317)
124: (1.000, 0.320)
125: (1.000, 0.323)
126: (1.000, 0.325)
127: (1.000, 0.328)
128: (1.000, 0.330)
129: (1.000, 0.333)
130: (1.000, 0.335)
131: (1.000, 0.338)
132: (1.000, 0.341)
133: (1.000, 0.343)
134: (1.000, 0.346)
135: (1.000, 0.348)
136: (1.000, 0.351)
137: (1.000, 0.354)
138: (1.000, 0.356)
139: (1.000, 0.359)
140: (1.000, 0.361)
141: (1.000, 0.364)
142: (1.000, 0.367)
143: (1.000, 0.369)
144: (1.000, 0.372)
145: (1.000, 0.374)
146: (1.000, 0.377)
147: (1.000, 0.380)
148: (1.000, 0.382)
149: (1.000, 0.385)
150: (1.000, 0.387)
151: (1.000, 0.390)
152: (1.000, 0.392)
153: (1.000, 0.395)
154: (1.000, 0.398)
155: (1.000, 0.400)
156: (1.000, 0.403)
157: (1.000, 0.405)
158: (1.000, 0.408)
159: (1.000, 0.411)
160: (1.000, 0.413)
161: (1.000, 0.416)
162: (1.000, 0.418)
163: (1.000, 0.421)
164: (1.000, 0.424)
165: (1.000, 0.426)
166: (1.000, 0.429)
167: (1.000, 0.431)
168: (1.000, 0.434)
169: (1.000, 0.437)
170: (1.000, 0.439)
171: (1.000, 0.442)
172: (1.000, 0.444)
173: (1.000, 0.447)
174: (1.000, 0.449)
175: (1.000, 0.452)
176: (1.000, 0.455)
177: (1.000, 0.457)
178: (1.000, 0.460)
179: (1.000, 0.462)
180: (1.000, 0.465)
181: (1.000, 0.468)
182: (1.000, 0.470)
183: (1.000, 0.473)
184: (1.000, 0.475)
185: (1.000, 0.478)
186: (1.000, 0.481)
187: (1.000, 0.483)
188: (1.000, 0.486)
189: (1.000, 0.488)
190: (1.000, 0.491)
191: (1.000, 0.494)
192: (1.000, 0.496)
193: (1.000, 0.499)
194: (1.000, 0.501)
195: (1.000, 0.504)
196: (1.000, 0.506)
197: (1.000, 0.509)
198: (1.000, 0.512)
199: (1.000, 0.514)
200: (1.000, 0.517)
201: (1.000, 0.519)
202: (1.000, 0.522)
203: (1.000, 0.525)
204: (1.000, 0.527)
205: (1.000, 0.530)
206: (1.000, 0.532)
207: (1.000, 0.535)
208: (1.000, 0.538)
209: (1.000, 0.540)
210: (1.000, 0.543)
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⊟Feature print (embedding)768-D · float
Fixed-length descriptor (image embedding). Used for similarity / dedup via cosine distance. Sparkline shows the first 64 of 768 dimensions.
first 8 values: 0.009,-0.007,0.106,0.081,-0.051,0.003,0.001,0.004
{} Raw JSON 14 capability runs · on-device
Every Vision pass auge ran on this image. Click a file to see the full, un-truncated output (vector embeddings, full landmark points, every contour point — exactly what auge produced):
Wikimedia source
The Blue Marble - Apollo 17, 1972
attention 1 · 62%
classify 1972 Public Domain (NASA work)

The Blue Marble - Apollo 17, 1972

Apollo 17, 7 December 1972. The crew, the last humans to leave Low Earth Orbit, took the only fully-illuminated photo of Earth made by an astronaut. Vision classifies 'astronomy / planet / globe'.

$ auge --all blue-marble.jpg
A OCR no text
No text detected in this image.
# Classify 10 labels
outdoor
76%
celestial_body
76%
moon
76%
liquid
11%
water
11%
frozen
11%
ice
11%
sky
5%
night_sky
5%
snow
2%
▦ Barcodes none
No barcodes or QR codes detected.
☻ Faces 0 detected
No faces detected.
⨯Face landmarks0 faces
No faces detected, so no landmarks.
⌒Animals (cat/dog)0 detected
No cats or dogs detected by VNRecognizeAnimalsRequest. (The recognizer is conservative — paintings, distant or partial subjects often score below threshold.)
🐾Animal pose0 animals
No animal body poses detected.
⩎Body pose0 bodies
No human body poses detected.
✋Hand pose0 hands
No hands detected.
★Aesthetics0.795
memorable
overallScore range −1.00 utility → +1.00 memorable · 89.8% along scale
●Lens smudge0.12%
clean lens
confidence 0.0012063980102539062 · 0% clean · 100% smudged
◉Saliency · attention1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 62.4% confidence — bbox=(0.157, 0.246, 0.599, 0.690)
◉Saliency · objectness1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 88.7% confidence — bbox=(0.045, 0.055, 0.908, 0.898)
▱Quadrilaterals2 detected
2 four-cornered shapes — paper, screens, signs. Outlined on the image above.
rect 1 — 100.0% confidence — corners tl(-0.009,0.889) tr(1.120,1.042) bl(0.090,0.144) br(0.805,-0.056)
rect 2 — 100.0% confidence — corners tl(0.624,1.352) tr(0.989,0.431) bl(-0.256,0.262) br(0.618,0.010)
▭Text regions1 detected
Lightweight text-region detector (just bounding boxes — no recognition). Boxes drawn on the image above.
region 1 — 100.0% confidence — bbox=(0.400, 0.238, 0.500, 0.762)
⏤Horizonno horizon
No horizon line detected (no clear sky/ground separation).
∿Contours1261 total · 1 top-level
Vector edge contours of detected shapes. 1 path drawn on the image above (sampled from top-level).
path 1 — 2048 points —
1: (1.000, 0.001) 2: (1.000, 0.003) 3: (1.000, 0.005) 4: (1.000, 0.007) 5: (1.000, 0.009) 6: (1.000, 0.011) 7: (1.000, 0.013) 8: (1.000, 0.015) 9: (1.000, 0.017) 10: (1.000, 0.019) 11: (1.000, 0.021) 12: (1.000, 0.022) 13: (1.000, 0.024) 14: (1.000, 0.026) 15: (1.000, 0.028) 16: (1.000, 0.030) 17: (1.000, 0.032) 18: (1.000, 0.034) 19: (1.000, 0.036) 20: (1.000, 0.038)
show all 2028 more points
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1349: (0.000, 0.366)
1350: (0.000, 0.364)
1351: (0.000, 0.362)
1352: (0.000, 0.360)
1353: (0.000, 0.358)
1354: (0.000, 0.356)
1355: (0.000, 0.354)
1356: (0.000, 0.353)
1357: (0.000, 0.351)
1358: (0.000, 0.349)
1359: (0.000, 0.347)
1360: (0.000, 0.345)
1361: (0.000, 0.343)
1362: (0.000, 0.341)
1363: (0.000, 0.339)
1364: (0.000, 0.337)
1365: (0.000, 0.335)
1366: (0.000, 0.333)
1367: (0.000, 0.331)
1368: (0.000, 0.329)
1369: (0.000, 0.327)
1370: (0.000, 0.325)
1371: (0.000, 0.323)
1372: (0.000, 0.321)
1373: (0.000, 0.319)
1374: (0.000, 0.317)
1375: (0.000, 0.315)
1376: (0.000, 0.313)
1377: (0.000, 0.312)
1378: (0.000, 0.310)
1379: (0.000, 0.308)
1380: (0.000, 0.306)
1381: (0.000, 0.304)
1382: (0.000, 0.302)
1383: (0.000, 0.300)
1384: (0.000, 0.298)
1385: (0.000, 0.296)
1386: (0.000, 0.294)
1387: (0.000, 0.292)
1388: (0.000, 0.290)
1389: (0.000, 0.288)
1390: (0.000, 0.286)
1391: (0.000, 0.284)
1392: (0.000, 0.282)
1393: (0.000, 0.280)
1394: (0.000, 0.278)
1395: (0.000, 0.276)
1396: (0.000, 0.274)
1397: (0.000, 0.272)
1398: (0.000, 0.271)
1399: (0.000, 0.269)
1400: (0.000, 0.267)
1401: (0.000, 0.265)
1402: (0.000, 0.263)
1403: (0.000, 0.261)
1404: (0.000, 0.259)
1405: (0.000, 0.257)
1406: (0.000, 0.255)
1407: (0.000, 0.253)
1408: (0.000, 0.251)
1409: (0.000, 0.249)
1410: (0.000, 0.247)
1411: (0.000, 0.245)
1412: (0.000, 0.243)
1413: (0.000, 0.241)
1414: (0.000, 0.239)
1415: (0.000, 0.237)
1416: (0.000, 0.235)
1417: (0.000, 0.233)
1418: (0.000, 0.231)
1419: (0.000, 0.229)
1420: (0.000, 0.228)
1421: (0.000, 0.226)
1422: (0.000, 0.224)
1423: (0.000, 0.222)
1424: (0.000, 0.220)
1425: (0.000, 0.218)
1426: (0.000, 0.216)
1427: (0.000, 0.214)
1428: (0.000, 0.212)
1429: (0.000, 0.210)
1430: (0.000, 0.208)
1431: (0.000, 0.206)
1432: (0.000, 0.204)
1433: (0.000, 0.202)
1434: (0.000, 0.200)
1435: (0.000, 0.198)
1436: (0.000, 0.196)
1437: (0.000, 0.194)
1438: (0.000, 0.192)
1439: (0.000, 0.190)
1440: (0.000, 0.188)
1441: (0.000, 0.187)
1442: (0.000, 0.185)
1443: (0.000, 0.183)
1444: (0.000, 0.181)
1445: (0.000, 0.179)
1446: (0.000, 0.177)
1447: (0.000, 0.175)
1448: (0.000, 0.173)
1449: (0.000, 0.171)
1450: (0.000, 0.169)
1451: (0.000, 0.167)
1452: (0.000, 0.165)
1453: (0.000, 0.163)
1454: (0.000, 0.161)
1455: (0.000, 0.159)
1456: (0.000, 0.157)
1457: (0.000, 0.155)
1458: (0.000, 0.153)
1459: (0.000, 0.151)
1460: (0.000, 0.149)
1461: (0.000, 0.147)
1462: (0.000, 0.146)
1463: (0.000, 0.144)
1464: (0.000, 0.142)
1465: (0.000, 0.140)
1466: (0.000, 0.138)
1467: (0.000, 0.136)
1468: (0.000, 0.134)
1469: (0.000, 0.132)
1470: (0.000, 0.130)
1471: (0.000, 0.128)
1472: (0.000, 0.126)
1473: (0.000, 0.124)
1474: (0.000, 0.122)
1475: (0.000, 0.120)
1476: (0.000, 0.118)
1477: (0.000, 0.116)
1478: (0.000, 0.114)
1479: (0.000, 0.112)
1480: (0.000, 0.110)
1481: (0.000, 0.108)
1482: (0.000, 0.106)
1483: (0.000, 0.104)
1484: (0.000, 0.103)
1485: (0.000, 0.101)
1486: (0.000, 0.099)
1487: (0.000, 0.097)
1488: (0.000, 0.095)
1489: (0.000, 0.093)
1490: (0.000, 0.091)
1491: (0.000, 0.089)
1492: (0.000, 0.087)
1493: (0.000, 0.085)
1494: (0.000, 0.083)
1495: (0.000, 0.081)
1496: (0.000, 0.079)
1497: (0.000, 0.077)
1498: (0.000, 0.075)
1499: (0.000, 0.073)
1500: (0.000, 0.071)
1501: (0.000, 0.069)
1502: (0.000, 0.067)
1503: (0.000, 0.065)
1504: (0.000, 0.063)
1505: (0.000, 0.062)
1506: (0.000, 0.060)
1507: (0.000, 0.058)
1508: (0.000, 0.056)
1509: (0.000, 0.054)
1510: (0.000, 0.052)
1511: (0.000, 0.050)
1512: (0.000, 0.048)
1513: (0.000, 0.046)
1514: (0.000, 0.044)
1515: (0.000, 0.042)
1516: (0.000, 0.040)
1517: (0.000, 0.038)
1518: (0.000, 0.036)
1519: (0.000, 0.034)
1520: (0.000, 0.032)
1521: (0.000, 0.030)
1522: (0.000, 0.028)
1523: (0.000, 0.026)
1524: (0.000, 0.024)
1525: (0.000, 0.022)
1526: (0.000, 0.021)
1527: (0.000, 0.019)
1528: (0.000, 0.017)
1529: (0.000, 0.015)
1530: (0.000, 0.013)
1531: (0.000, 0.011)
1532: (0.000, 0.009)
1533: (0.000, 0.007)
1534: (0.000, 0.005)
1535: (0.000, 0.003)
1536: (0.000, 0.001)
1537: (0.001, 0.000)
1538: (0.003, 0.000)
1539: (0.005, 0.000)
1540: (0.007, 0.000)
1541: (0.009, 0.000)
1542: (0.011, 0.000)
1543: (0.013, 0.000)
1544: (0.015, 0.000)
1545: (0.017, 0.000)
1546: (0.019, 0.000)
1547: (0.021, 0.000)
1548: (0.022, 0.000)
1549: (0.024, 0.000)
1550: (0.026, 0.000)
1551: (0.028, 0.000)
1552: (0.030, 0.000)
1553: (0.032, 0.000)
1554: (0.034, 0.000)
1555: (0.036, 0.000)
1556: (0.038, 0.000)
1557: (0.040, 0.000)
1558: (0.042, 0.000)
1559: (0.044, 0.000)
1560: (0.046, 0.000)
1561: (0.048, 0.000)
1562: (0.050, 0.000)
1563: (0.052, 0.000)
1564: (0.054, 0.000)
1565: (0.056, 0.000)
1566: (0.058, 0.000)
1567: (0.060, 0.000)
1568: (0.062, 0.000)
1569: (0.063, 0.000)
1570: (0.065, 0.000)
1571: (0.067, 0.000)
1572: (0.069, 0.000)
1573: (0.071, 0.000)
1574: (0.073, 0.000)
1575: (0.075, 0.000)
1576: (0.077, 0.000)
1577: (0.079, 0.000)
1578: (0.081, 0.000)
1579: (0.083, 0.000)
1580: (0.085, 0.000)
1581: (0.087, 0.000)
1582: (0.089, 0.000)
1583: (0.091, 0.000)
1584: (0.093, 0.000)
1585: (0.095, 0.000)
1586: (0.097, 0.000)
1587: (0.099, 0.000)
1588: (0.101, 0.000)
1589: (0.103, 0.000)
1590: (0.104, 0.000)
1591: (0.106, 0.000)
1592: (0.108, 0.000)
1593: (0.110, 0.000)
1594: (0.112, 0.000)
1595: (0.114, 0.000)
1596: (0.116, 0.000)
1597: (0.118, 0.000)
1598: (0.120, 0.000)
1599: (0.122, 0.000)
1600: (0.124, 0.000)
1601: (0.126, 0.000)
1602: (0.128, 0.000)
1603: (0.130, 0.000)
1604: (0.132, 0.000)
1605: (0.134, 0.000)
1606: (0.136, 0.000)
1607: (0.138, 0.000)
1608: (0.140, 0.000)
1609: (0.142, 0.000)
1610: (0.144, 0.000)
1611: (0.146, 0.000)
1612: (0.147, 0.000)
1613: (0.149, 0.000)
1614: (0.151, 0.000)
1615: (0.153, 0.000)
1616: (0.155, 0.000)
1617: (0.157, 0.000)
1618: (0.159, 0.000)
1619: (0.161, 0.000)
1620: (0.163, 0.000)
1621: (0.165, 0.000)
1622: (0.167, 0.000)
1623: (0.169, 0.000)
1624: (0.171, 0.000)
1625: (0.173, 0.000)
1626: (0.175, 0.000)
1627: (0.177, 0.000)
1628: (0.179, 0.000)
1629: (0.181, 0.000)
1630: (0.183, 0.000)
1631: (0.185, 0.000)
1632: (0.187, 0.000)
1633: (0.188, 0.000)
1634: (0.190, 0.000)
1635: (0.192, 0.000)
1636: (0.194, 0.000)
1637: (0.196, 0.000)
1638: (0.198, 0.000)
1639: (0.200, 0.000)
1640: (0.202, 0.000)
1641: (0.204, 0.000)
1642: (0.206, 0.000)
1643: (0.208, 0.000)
1644: (0.210, 0.000)
1645: (0.212, 0.000)
1646: (0.214, 0.000)
1647: (0.216, 0.000)
1648: (0.218, 0.000)
1649: (0.220, 0.000)
1650: (0.222, 0.000)
1651: (0.224, 0.000)
1652: (0.226, 0.000)
1653: (0.228, 0.000)
1654: (0.229, 0.000)
1655: (0.231, 0.000)
1656: (0.233, 0.000)
1657: (0.235, 0.000)
1658: (0.237, 0.000)
1659: (0.239, 0.000)
1660: (0.241, 0.000)
1661: (0.243, 0.000)
1662: (0.245, 0.000)
1663: (0.247, 0.000)
1664: (0.249, 0.000)
1665: (0.251, 0.000)
1666: (0.253, 0.000)
1667: (0.255, 0.000)
1668: (0.257, 0.000)
1669: (0.259, 0.000)
1670: (0.261, 0.000)
1671: (0.263, 0.000)
1672: (0.265, 0.000)
1673: (0.267, 0.000)
1674: (0.269, 0.000)
1675: (0.271, 0.000)
1676: (0.272, 0.000)
1677: (0.274, 0.000)
1678: (0.276, 0.000)
1679: (0.278, 0.000)
1680: (0.280, 0.000)
1681: (0.282, 0.000)
1682: (0.284, 0.000)
1683: (0.286, 0.000)
1684: (0.288, 0.000)
1685: (0.290, 0.000)
1686: (0.292, 0.000)
1687: (0.294, 0.000)
1688: (0.296, 0.000)
1689: (0.298, 0.000)
1690: (0.300, 0.000)
1691: (0.302, 0.000)
1692: (0.304, 0.000)
1693: (0.306, 0.000)
1694: (0.308, 0.000)
1695: (0.310, 0.000)
1696: (0.312, 0.000)
1697: (0.313, 0.000)
1698: (0.315, 0.000)
1699: (0.317, 0.000)
1700: (0.319, 0.000)
1701: (0.321, 0.000)
1702: (0.323, 0.000)
1703: (0.325, 0.000)
1704: (0.327, 0.000)
1705: (0.329, 0.000)
1706: (0.331, 0.000)
1707: (0.333, 0.000)
1708: (0.335, 0.000)
1709: (0.337, 0.000)
1710: (0.339, 0.000)
1711: (0.341, 0.000)
1712: (0.343, 0.000)
1713: (0.345, 0.000)
1714: (0.347, 0.000)
1715: (0.349, 0.000)
1716: (0.351, 0.000)
1717: (0.353, 0.000)
1718: (0.354, 0.000)
1719: (0.356, 0.000)
1720: (0.358, 0.000)
1721: (0.360, 0.000)
1722: (0.362, 0.000)
1723: (0.364, 0.000)
1724: (0.366, 0.000)
1725: (0.368, 0.000)
1726: (0.370, 0.000)
1727: (0.372, 0.000)
1728: (0.374, 0.000)
1729: (0.376, 0.000)
1730: (0.378, 0.000)
1731: (0.380, 0.000)
1732: (0.382, 0.000)
1733: (0.384, 0.000)
1734: (0.386, 0.000)
1735: (0.388, 0.000)
1736: (0.390, 0.000)
1737: (0.392, 0.000)
1738: (0.394, 0.000)
1739: (0.396, 0.000)
1740: (0.397, 0.000)
1741: (0.399, 0.000)
1742: (0.401, 0.000)
1743: (0.403, 0.000)
1744: (0.405, 0.000)
1745: (0.407, 0.000)
1746: (0.409, 0.000)
1747: (0.411, 0.000)
1748: (0.413, 0.000)
1749: (0.415, 0.000)
1750: (0.417, 0.000)
1751: (0.419, 0.000)
1752: (0.421, 0.000)
1753: (0.423, 0.000)
1754: (0.425, 0.000)
1755: (0.427, 0.000)
1756: (0.429, 0.000)
1757: (0.431, 0.000)
1758: (0.433, 0.000)
1759: (0.435, 0.000)
1760: (0.437, 0.000)
1761: (0.438, 0.000)
1762: (0.440, 0.000)
1763: (0.442, 0.000)
1764: (0.444, 0.000)
1765: (0.446, 0.000)
1766: (0.448, 0.000)
1767: (0.450, 0.000)
1768: (0.452, 0.000)
1769: (0.454, 0.000)
1770: (0.456, 0.000)
1771: (0.458, 0.000)
1772: (0.460, 0.000)
1773: (0.462, 0.000)
1774: (0.464, 0.000)
1775: (0.466, 0.000)
1776: (0.468, 0.000)
1777: (0.470, 0.000)
1778: (0.472, 0.000)
1779: (0.474, 0.000)
1780: (0.476, 0.000)
1781: (0.478, 0.000)
1782: (0.479, 0.000)
1783: (0.481, 0.000)
1784: (0.483, 0.000)
1785: (0.485, 0.000)
1786: (0.487, 0.000)
1787: (0.489, 0.000)
1788: (0.491, 0.000)
1789: (0.493, 0.000)
1790: (0.495, 0.000)
1791: (0.497, 0.000)
1792: (0.499, 0.000)
1793: (0.501, 0.000)
1794: (0.503, 0.000)
1795: (0.505, 0.000)
1796: (0.507, 0.000)
1797: (0.509, 0.000)
1798: (0.511, 0.000)
1799: (0.513, 0.000)
1800: (0.515, 0.000)
1801: (0.517, 0.000)
1802: (0.519, 0.000)
1803: (0.521, 0.000)
1804: (0.522, 0.000)
1805: (0.524, 0.000)
1806: (0.526, 0.000)
1807: (0.528, 0.000)
1808: (0.530, 0.000)
1809: (0.532, 0.000)
1810: (0.534, 0.000)
1811: (0.536, 0.000)
1812: (0.538, 0.000)
1813: (0.540, 0.000)
1814: (0.542, 0.000)
1815: (0.544, 0.000)
1816: (0.546, 0.000)
1817: (0.548, 0.000)
1818: (0.550, 0.000)
1819: (0.552, 0.000)
1820: (0.554, 0.000)
1821: (0.556, 0.000)
1822: (0.558, 0.000)
1823: (0.560, 0.000)
1824: (0.562, 0.000)
1825: (0.563, 0.000)
1826: (0.565, 0.000)
1827: (0.567, 0.000)
1828: (0.569, 0.000)
1829: (0.571, 0.000)
1830: (0.573, 0.000)
1831: (0.575, 0.000)
1832: (0.577, 0.000)
1833: (0.579, 0.000)
1834: (0.581, 0.000)
1835: (0.583, 0.000)
1836: (0.585, 0.000)
1837: (0.587, 0.000)
1838: (0.589, 0.000)
1839: (0.591, 0.000)
1840: (0.593, 0.000)
1841: (0.595, 0.000)
1842: (0.597, 0.000)
1843: (0.599, 0.000)
1844: (0.601, 0.000)
1845: (0.603, 0.000)
1846: (0.604, 0.000)
1847: (0.606, 0.000)
1848: (0.608, 0.000)
1849: (0.610, 0.000)
1850: (0.612, 0.000)
1851: (0.614, 0.000)
1852: (0.616, 0.000)
1853: (0.618, 0.000)
1854: (0.620, 0.000)
1855: (0.622, 0.000)
1856: (0.624, 0.000)
1857: (0.626, 0.000)
1858: (0.628, 0.000)
1859: (0.630, 0.000)
1860: (0.632, 0.000)
1861: (0.634, 0.000)
1862: (0.636, 0.000)
1863: (0.638, 0.000)
1864: (0.640, 0.000)
1865: (0.642, 0.000)
1866: (0.644, 0.000)
1867: (0.646, 0.000)
1868: (0.647, 0.000)
1869: (0.649, 0.000)
1870: (0.651, 0.000)
1871: (0.653, 0.000)
1872: (0.655, 0.000)
1873: (0.657, 0.000)
1874: (0.659, 0.000)
1875: (0.661, 0.000)
1876: (0.663, 0.000)
1877: (0.665, 0.000)
1878: (0.667, 0.000)
1879: (0.669, 0.000)
1880: (0.671, 0.000)
1881: (0.673, 0.000)
1882: (0.675, 0.000)
1883: (0.677, 0.000)
1884: (0.679, 0.000)
1885: (0.681, 0.000)
1886: (0.683, 0.000)
1887: (0.685, 0.000)
1888: (0.687, 0.000)
1889: (0.688, 0.000)
1890: (0.690, 0.000)
1891: (0.692, 0.000)
1892: (0.694, 0.000)
1893: (0.696, 0.000)
1894: (0.698, 0.000)
1895: (0.700, 0.000)
1896: (0.702, 0.000)
1897: (0.704, 0.000)
1898: (0.706, 0.000)
1899: (0.708, 0.000)
1900: (0.710, 0.000)
1901: (0.712, 0.000)
1902: (0.714, 0.000)
1903: (0.716, 0.000)
1904: (0.718, 0.000)
1905: (0.720, 0.000)
1906: (0.722, 0.000)
1907: (0.724, 0.000)
1908: (0.726, 0.000)
1909: (0.728, 0.000)
1910: (0.729, 0.000)
1911: (0.731, 0.000)
1912: (0.733, 0.000)
1913: (0.735, 0.000)
1914: (0.737, 0.000)
1915: (0.739, 0.000)
1916: (0.741, 0.000)
1917: (0.743, 0.000)
1918: (0.745, 0.000)
1919: (0.747, 0.000)
1920: (0.749, 0.000)
1921: (0.751, 0.000)
1922: (0.753, 0.000)
1923: (0.755, 0.000)
1924: (0.757, 0.000)
1925: (0.759, 0.000)
1926: (0.761, 0.000)
1927: (0.763, 0.000)
1928: (0.765, 0.000)
1929: (0.767, 0.000)
1930: (0.769, 0.000)
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⊟Feature print (embedding)768-D · float
Fixed-length descriptor (image embedding). Used for similarity / dedup via cosine distance. Sparkline shows the first 64 of 768 dimensions.
first 8 values: 0.005,0.013,-0.055,0.034,0.007,0.117,-0.03,-0.014
{} Raw JSON 14 capability runs · on-device
Every Vision pass auge ran on this image. Click a file to see the full, un-truncated output (vector embeddings, full landmark points, every contour point — exactly what auge produced):
Wikimedia source
Vatican ATM with Latin instructions
attention 1 · 57%
multilingual 2014 Public Domain

Vatican ATM with Latin instructions

The only ATM in the world with a Latin user interface. auge OCRs medieval-screen Latin: 'Inserito scidulam quaeso ut faciundam cognoscas rationem'.

$ auge --all --langs la,it-IT vatican-atm.jpg
A OCR 6 lines · 56 chars 
INSERITO
SCIDULAM
QUAESO UT
FACTUNDAM
COGNOSCAS
RATIONEM
# Classify 10 labels
machine
61%
atm
61%
keypad
12%
consumer_electronics
2%
television
2%
structure
2%
conveyance
2%
elevator
2%
computer
1%
computer_monitor
1%
▦ Barcodes none
No barcodes or QR codes detected.
☻ Faces 0 detected
No faces detected.
⨯Face landmarks0 faces
No faces detected, so no landmarks.
⌒Animals (cat/dog)0 detected
No cats or dogs detected by VNRecognizeAnimalsRequest. (The recognizer is conservative — paintings, distant or partial subjects often score below threshold.)
🐾Animal pose0 animals
No animal body poses detected.
⩎Body pose0 bodies
No human body poses detected.
✋Hand pose0 hands
No hands detected.
★Aesthetics0.216
utility shot
overallScore range −1.00 utility → +1.00 memorable · 60.8% along scale
●Lens smudge0.41%
clean lens
confidence 0.004093170166015625 · 0% clean · 100% smudged
◉Saliency · attention1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 56.6% confidence — bbox=(0.131, 0.349, 0.845, 0.446)
◉Saliency · objectness1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 67.8% confidence — bbox=(0.158, 0.266, 0.500, 0.513)
▱Quadrilaterals5 detected
5 four-cornered shapes — paper, screens, signs. Outlined on the image above.
rect 1 — 100.0% confidence — corners tl(0.052,0.888) tr(0.692,0.908) bl(0.070,0.016) br(0.698,0.016)
rect 2 — 100.0% confidence — corners tl(0.070,0.858) tr(0.671,0.879) bl(0.085,0.064) br(0.675,0.064)
rect 3 — 100.0% confidence — corners tl(0.192,0.733) tr(0.573,0.741) bl(0.197,0.306) br(0.574,0.307)
rect 4 — 100.0% confidence — corners tl(0.202,0.667) tr(0.377,0.674) bl(0.204,0.409) br(0.380,0.407)
rect 5 — 100.0% confidence — corners tl(0.409,0.647) tr(0.563,0.650) bl(0.375,0.443) br(0.564,0.435)
▭Text regions0 detected
No text regions detected by the cheap probe.
⏤Horizon-1.50°
-1.50° slight tilt
-0.0262 rad · red line drawn on image above · the small preview is rotated by 1.50° to make the horizon level.
rotated to level horizon
corrected (rotated by 1.50°) — the red dotted line is true horizontal.
∿Contours38 total · 1 top-level
Vector edge contours of detected shapes. 1 path drawn on the image above (sampled from top-level).
path 1 — 1708 points —
1: (1.000, 0.001) 2: (1.000, 0.004) 3: (1.000, 0.007) 4: (1.000, 0.010) 5: (1.000, 0.013) 6: (1.000, 0.016) 7: (1.000, 0.019) 8: (1.000, 0.022) 9: (1.000, 0.025) 10: (1.000, 0.028) 11: (1.000, 0.031) 12: (1.000, 0.034) 13: (1.000, 0.037) 14: (1.000, 0.039) 15: (1.000, 0.042) 16: (1.000, 0.045) 17: (1.000, 0.048) 18: (1.000, 0.051) 19: (1.000, 0.054) 20: (1.000, 0.057)
show all 1688 more points
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1579: (0.747, -0.000)
1580: (0.749, -0.000)
1581: (0.751, -0.000)
1582: (0.753, -0.000)
1583: (0.755, -0.000)
1584: (0.757, -0.000)
1585: (0.759, -0.000)
1586: (0.761, -0.000)
1587: (0.763, -0.000)
1588: (0.765, -0.000)
1589: (0.767, -0.000)
1590: (0.769, -0.000)
1591: (0.771, -0.000)
1592: (0.772, -0.000)
1593: (0.774, -0.000)
1594: (0.776, -0.000)
1595: (0.778, -0.000)
1596: (0.780, -0.000)
1597: (0.782, -0.000)
1598: (0.784, -0.000)
1599: (0.786, -0.000)
1600: (0.788, -0.000)
1601: (0.790, -0.000)
1602: (0.792, -0.000)
1603: (0.794, -0.000)
1604: (0.796, -0.000)
1605: (0.798, -0.000)
1606: (0.800, -0.000)
1607: (0.802, -0.000)
1608: (0.804, -0.000)
1609: (0.806, -0.000)
1610: (0.808, -0.000)
1611: (0.810, -0.000)
1612: (0.812, -0.000)
1613: (0.813, -0.000)
1614: (0.815, -0.000)
1615: (0.817, -0.000)
1616: (0.819, -0.000)
1617: (0.821, -0.000)
1618: (0.823, -0.000)
1619: (0.825, -0.000)
1620: (0.827, -0.000)
1621: (0.829, -0.000)
1622: (0.831, -0.000)
1623: (0.833, -0.000)
1624: (0.835, -0.000)
1625: (0.837, -0.000)
1626: (0.839, -0.000)
1627: (0.841, -0.000)
1628: (0.843, -0.000)
1629: (0.845, -0.000)
1630: (0.847, -0.000)
1631: (0.849, -0.000)
1632: (0.851, -0.000)
1633: (0.853, -0.000)
1634: (0.854, -0.000)
1635: (0.856, -0.000)
1636: (0.858, -0.000)
1637: (0.860, -0.000)
1638: (0.862, -0.000)
1639: (0.864, -0.000)
1640: (0.866, -0.000)
1641: (0.868, -0.000)
1642: (0.870, -0.000)
1643: (0.872, -0.000)
1644: (0.874, -0.000)
1645: (0.876, -0.000)
1646: (0.878, -0.000)
1647: (0.880, -0.000)
1648: (0.882, -0.000)
1649: (0.884, -0.000)
1650: (0.886, -0.000)
1651: (0.888, -0.000)
1652: (0.890, -0.000)
1653: (0.892, -0.000)
1654: (0.894, -0.000)
1655: (0.896, -0.000)
1656: (0.897, -0.000)
1657: (0.899, -0.000)
1658: (0.901, -0.000)
1659: (0.903, -0.000)
1660: (0.905, -0.000)
1661: (0.907, -0.000)
1662: (0.909, -0.000)
1663: (0.911, -0.000)
1664: (0.913, -0.000)
1665: (0.915, -0.000)
1666: (0.917, -0.000)
1667: (0.919, -0.000)
1668: (0.921, -0.000)
1669: (0.923, -0.000)
1670: (0.925, -0.000)
1671: (0.927, -0.000)
1672: (0.929, -0.000)
1673: (0.931, -0.000)
1674: (0.933, -0.000)
1675: (0.935, -0.000)
1676: (0.937, -0.000)
1677: (0.938, -0.000)
1678: (0.940, -0.000)
1679: (0.942, -0.000)
1680: (0.944, -0.000)
1681: (0.946, -0.000)
1682: (0.948, -0.000)
1683: (0.950, -0.000)
1684: (0.952, -0.000)
1685: (0.954, -0.000)
1686: (0.956, -0.000)
1687: (0.958, -0.000)
1688: (0.960, -0.000)
1689: (0.962, -0.000)
1690: (0.964, -0.000)
1691: (0.966, -0.000)
1692: (0.968, -0.000)
1693: (0.970, -0.000)
1694: (0.972, -0.000)
1695: (0.974, -0.000)
1696: (0.976, -0.000)
1697: (0.978, -0.000)
1698: (0.979, -0.000)
1699: (0.981, -0.000)
1700: (0.983, -0.000)
1701: (0.985, -0.000)
1702: (0.987, -0.000)
1703: (0.989, -0.000)
1704: (0.991, -0.000)
1705: (0.993, -0.000)
1706: (0.995, -0.000)
1707: (0.997, -0.000)
1708: (0.999, -0.000)
⊟Feature print (embedding)768-D · float
Fixed-length descriptor (image embedding). Used for similarity / dedup via cosine distance. Sparkline shows the first 64 of 768 dimensions.
first 8 values: -0.014,0.027,-0.004,-0.059,0.001,0.083,-0.001,0.019
{} Raw JSON 14 capability runs · on-device
Every Vision pass auge ran on this image. Click a file to see the full, un-truncated output (vector embeddings, full landmark points, every contour point — exactly what auge produced):
Wikimedia source
Abraham Lincoln, 1863
attention 1 · 59%
face 1
faces 1863 Public Domain

Abraham Lincoln, 1863

A 19th-century portrait. auge detects the face (with bounding box), classifies the image, and OCRs any visible text.

$ auge --all lincoln.jpg
A OCR no text
No text detected in this image.
# Classify 8 labels
clothing
76%
suit
73%
people
69%
adult
69%
bowtie
52%
necktie
26%
tuxedo
18%
military_uniform
3%
▦ Barcodes none
No barcodes or QR codes detected.
☻ Faces 1 detected
1 face located. Bounding boxes overlaid on the image above.
face 1: x=0.221 y=0.382 w=0.486 h=0.377
⨯Face landmarks1 face · 76 pts each
Per-face roll / yaw / pitch (head pose) and ~76 anchor points (eyes, brows, nose, lips, jawline, pupils). Points drawn on the image above.
face 1 — bbox=(0.220, 0.377, 0.488, 0.379) — pose not reported
faceContour 17 pts (0.906, 0.735), (0.910, 0.624), (0.903, 0.513), (0.891, 0.401), (0.863, 0.291), (0.808, 0.194), (0.731, 0.112), (0.638, 0.053), (0.527, 0.032), (0.421, 0.051), (0.329, 0.107), (0.251, 0.181), (0.191, 0.271), (0.154, 0.372), (0.129, 0.478), (0.110, 0.586), (0.100, 0.692)
innerLips 6 pts (0.451, 0.295), (0.512, 0.290), (0.577, 0.296), (0.577, 0.294), (0.511, 0.288), (0.450, 0.294)
leftEye 6 pts (0.243, 0.705), (0.286, 0.732), (0.354, 0.731), (0.398, 0.704), (0.351, 0.698), (0.288, 0.693)
leftEyebrow 6 pts (0.150, 0.774), (0.275, 0.834), (0.414, 0.822), (0.413, 0.775), (0.282, 0.784), (0.158, 0.748)
leftPupil 1 pt (0.313, 0.720)
medianLine 10 pts (0.497, 0.736), (0.501, 0.654), (0.504, 0.570), (0.507, 0.487), (0.510, 0.423), (0.511, 0.322), (0.512, 0.290), (0.511, 0.288), (0.513, 0.238), (0.527, 0.032)
nose 8 pts (0.501, 0.654), (0.420, 0.527), (0.420, 0.437), (0.466, 0.434), (0.510, 0.423), (0.555, 0.435), (0.601, 0.440), (0.595, 0.531)
noseCrest 6 pts (0.497, 0.736), (0.501, 0.654), (0.504, 0.570), (0.507, 0.487), (0.438, 0.478), (0.580, 0.480)
outerLips 14 pts (0.396, 0.314), (0.435, 0.325), (0.475, 0.330), (0.511, 0.322), (0.547, 0.330), (0.590, 0.324), (0.633, 0.315), (0.674, 0.303), (0.627, 0.268), (0.571, 0.246), (0.513, 0.238), (0.457, 0.244), (0.403, 0.266), (0.358, 0.299)
rightEye 6 pts (0.751, 0.731), (0.705, 0.754), (0.637, 0.746), (0.597, 0.714), (0.644, 0.712), (0.708, 0.713)
rightEyebrow 6 pts (0.828, 0.815), (0.698, 0.858), (0.564, 0.832), (0.571, 0.785), (0.698, 0.807), (0.823, 0.789)
rightPupil 1 pt (0.681, 0.738)
⌒Animals (cat/dog)0 detected
No cats or dogs detected by VNRecognizeAnimalsRequest. (The recognizer is conservative — paintings, distant or partial subjects often score below threshold.)
🐾Animal pose0 animals
No animal body poses detected.
⩎Body pose0 bodies
No human body poses detected.
✋Hand pose0 hands
No hands detected.
★Aesthetics0.760
memorable
overallScore range −1.00 utility → +1.00 memorable · 88.0% along scale
●Lens smudge0.01%
clean lens
confidence 0.00014781951904296875 · 0% clean · 100% smudged
◉Saliency · attention1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 59.4% confidence — bbox=(0.219, 0.273, 0.467, 0.575)
◉Saliency · objectness1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 88.4% confidence — bbox=(0.000, 0.000, 1.000, 0.959)
▱Quadrilaterals1 detected
1 four-cornered shape — paper, screens, signs. Outlined on the image above.
rect 1 — 100.0% confidence — corners tl(0.285,0.708) tr(0.471,0.686) bl(0.290,0.519) br(0.510,0.550)
▭Text regions1 detected
Lightweight text-region detector (just bounding boxes — no recognition). Boxes drawn on the image above.
region 1 — 100.0% confidence — bbox=(0.250, 0.486, 0.375, 0.514)
⏤Horizonno horizon
No horizon line detected (no clear sky/ground separation).
∿Contours579 total · 96 top-level
Vector edge contours of detected shapes. 32 paths drawn on the image above (sampled from top-level).
path 1 — 3 points —
1: (0.047, 0.999) 2: (0.046, 0.999) 3: (0.047, 0.998)
path 2 — 4 points —
1: (0.070, 0.981) 2: (0.069, 0.983) 3: (0.068, 0.981) 4: (0.069, 0.981)
path 3 — 8 points —
1: (0.133, 0.997) 2: (0.134, 0.999) 3: (0.132, 0.999) 4: (0.130, 0.999) 5: (0.127, 0.999) 6: (0.130, 0.999) 7: (0.131, 0.997) 8: (0.132, 0.996)
path 4 — 12 points —
1: (0.091, 0.976) 2: (0.091, 0.978) 3: (0.089, 0.978) 4: (0.088, 0.979) 5: (0.088, 0.981) 6: (0.087, 0.982) 7: (0.086, 0.981) 8: (0.084, 0.980) 9: (0.084, 0.978) 10: (0.086, 0.976) 11: (0.087, 0.975) 12: (0.089, 0.975)
path 5 — 4 points —
1: (0.062, 0.983) 2: (0.059, 0.984) 3: (0.059, 0.983) 4: (0.059, 0.983)
path 6 — 7 points —
1: (0.098, 0.997) 2: (0.097, 0.999) 3: (0.094, 0.999) 4: (0.093, 0.999) 5: (0.092, 0.997) 6: (0.094, 0.997) 7: (0.097, 0.996)
path 7 — 4 points —
1: (0.090, 0.991) 2: (0.090, 0.993) 3: (0.089, 0.991) 4: (0.089, 0.991)
path 8 — 4 points —
1: (0.075, 0.985) 2: (0.074, 0.986) 3: (0.073, 0.985) 4: (0.074, 0.984)
path 9 — 4 points —
1: (0.085, 0.970) 2: (0.084, 0.970) 3: (0.083, 0.970) 4: (0.084, 0.969)
path 10 — 4 points —
1: (0.057, 0.976) 2: (0.057, 0.977) 3: (0.056, 0.976) 4: (0.057, 0.975)
path 11 — 29 points —
1: (0.078, 0.968) 2: (0.078, 0.970) 3: (0.079, 0.971) 4: (0.081, 0.974) 5: (0.082, 0.975) 6: (0.082, 0.976) 7: (0.082, 0.976) 8: (0.081, 0.976) 9: (0.079, 0.975) 10: (0.077, 0.974) 11: (0.075, 0.976) 12: (0.075, 0.978) 13: (0.074, 0.978) 14: (0.072, 0.978) 15: (0.069, 0.978) 16: (0.067, 0.978) 17: (0.064, 0.978) 18: (0.062, 0.978) 19: (0.064, 0.977) 20: (0.067, 0.977)
show all 9 more points
21: (0.069, 0.977)
22: (0.071, 0.976)
23: (0.071, 0.974)
24: (0.072, 0.973)
25: (0.074, 0.972)
26: (0.074, 0.970)
27: (0.074, 0.969)
28: (0.076, 0.968)
29: (0.077, 0.967)
path 12 — 3 points —
1: (0.039, 0.972) 2: (0.039, 0.974) 3: (0.037, 0.972)
path 13 — 4 points —
1: (0.033, 0.960) 2: (0.031, 0.961) 3: (0.030, 0.960) 4: (0.031, 0.959)
path 14 — 4 points —
1: (0.093, 0.970) 2: (0.092, 0.971) 3: (0.090, 0.970) 4: (0.092, 0.969)
path 15 — 5 points —
1: (0.037, 0.964) 2: (0.034, 0.964) 3: (0.033, 0.964) 4: (0.034, 0.963) 5: (0.037, 0.963)
path 16 — 10 points —
1: (0.077, 0.964) 2: (0.077, 0.965) 3: (0.074, 0.964) 4: (0.073, 0.966) 5: (0.072, 0.967) 6: (0.071, 0.966) 7: (0.071, 0.964) 8: (0.072, 0.963) 9: (0.074, 0.963) 10: (0.077, 0.963)
path 17 — 4 points —
1: (0.098, 0.966) 2: (0.097, 0.966) 3: (0.096, 0.966) 4: (0.097, 0.965)
path 18 — 3 points —
1: (0.019, 0.952) 2: (0.018, 0.952) 3: (0.019, 0.951)
path 19 — 3 points —
1: (0.042, 0.962) 2: (0.042, 0.963) 3: (0.040, 0.962)
path 20 — 14 points —
1: (0.065, 0.958) 2: (0.065, 0.960) 3: (0.065, 0.962) 4: (0.067, 0.963) 5: (0.068, 0.964) 6: (0.067, 0.964) 7: (0.064, 0.965) 8: (0.063, 0.964) 9: (0.062, 0.963) 10: (0.061, 0.962) 11: (0.062, 0.961) 12: (0.063, 0.960) 13: (0.063, 0.958) 14: (0.064, 0.957)
path 21 — 4 points —
1: (0.056, 0.950) 2: (0.054, 0.951) 3: (0.053, 0.950) 4: (0.054, 0.949)
path 22 — 26 points —
1: (0.063, 0.954) 2: (0.062, 0.955) 3: (0.059, 0.956) 4: (0.057, 0.957) 5: (0.054, 0.956) 6: (0.052, 0.957) 7: (0.049, 0.957) 8: (0.049, 0.958) 9: (0.047, 0.960) 10: (0.049, 0.961) 11: (0.051, 0.962) 12: (0.049, 0.962) 13: (0.047, 0.963) 14: (0.046, 0.962) 15: (0.046, 0.960) 16: (0.045, 0.958) 17: (0.046, 0.956) 18: (0.047, 0.955) 19: (0.048, 0.954) 20: (0.049, 0.953)
show all 6 more points
21: (0.051, 0.954)
22: (0.052, 0.955)
23: (0.054, 0.954)
24: (0.057, 0.953)
25: (0.059, 0.954)
26: (0.062, 0.954)
path 23 — 4 points —
1: (0.054, 0.960) 2: (0.055, 0.962) 3: (0.054, 0.963) 4: (0.053, 0.962)
path 24 — 4 points —
1: (0.073, 0.954) 2: (0.072, 0.955) 3: (0.071, 0.954) 4: (0.072, 0.954)
path 25 — 12 points —
1: (0.078, 0.954) 2: (0.079, 0.956) 3: (0.079, 0.958) 4: (0.078, 0.960) 5: (0.077, 0.961) 6: (0.074, 0.961) 7: (0.073, 0.960) 8: (0.073, 0.958) 9: (0.074, 0.957) 10: (0.075, 0.956) 11: (0.076, 0.954) 12: (0.077, 0.953)
path 26 — 8 points —
1: (0.035, 0.942) 2: (0.034, 0.943) 3: (0.033, 0.944) 4: (0.031, 0.945) 5: (0.030, 0.944) 6: (0.030, 0.942) 7: (0.031, 0.942) 8: (0.034, 0.942)
path 27 — 22 points —
1: (0.038, 0.946) 2: (0.039, 0.947) 3: (0.040, 0.948) 4: (0.041, 0.950) 5: (0.041, 0.952) 6: (0.042, 0.953) 7: (0.043, 0.954) 8: (0.042, 0.955) 9: (0.040, 0.954) 10: (0.039, 0.953) 11: (0.037, 0.953) 12: (0.035, 0.954) 13: (0.034, 0.956) 14: (0.031, 0.957) 15: (0.031, 0.956) 16: (0.031, 0.954) 17: (0.031, 0.952) 18: (0.034, 0.950) 19: (0.033, 0.948) 20: (0.034, 0.948)
show all 2 more points
21: (0.036, 0.946)
22: (0.037, 0.945)
path 28 — 4 points —
1: (0.058, 0.944) 2: (0.057, 0.945) 3: (0.055, 0.944) 4: (0.057, 0.944)
path 29 — 9 points —
1: (0.037, 0.933) 2: (0.039, 0.934) 3: (0.042, 0.936) 4: (0.039, 0.938) 5: (0.037, 0.939) 6: (0.035, 0.938) 7: (0.035, 0.937) 8: (0.036, 0.935) 9: (0.034, 0.933)
path 30 — 6 points —
1: (0.030, 0.931) 2: (0.029, 0.932) 3: (0.026, 0.932) 4: (0.024, 0.931) 5: (0.026, 0.930) 6: (0.029, 0.930)
path 31 — 3 points —
1: (0.002, 0.886) 2: (0.001, 0.886) 3: (0.001, 0.886)
path 32 — 3 points —
1: (0.002, 0.835) 2: (0.001, 0.836) 3: (0.001, 0.835)
⊟Feature print (embedding)768-D · float
Fixed-length descriptor (image embedding). Used for similarity / dedup via cosine distance. Sparkline shows the first 64 of 768 dimensions.
first 8 values: -0.025,0.009,0.038,0.057,-0.007,0.197,-0.019,-0.022
{} Raw JSON 14 capability runs · on-device
Every Vision pass auge ran on this image. Click a file to see the full, un-truncated output (vector embeddings, full landmark points, every contour point — exactly what auge produced):
Wikimedia source
Apollo 11 crew portrait, 1969
attention 1 · 62%
face 1
face 2
face 3
faces 1969 Public Domain (NASA work)

Apollo 11 crew portrait, 1969

Armstrong, Collins, Aldrin in pre-flight portrait. NASA published this and every other crew photo into the public domain - try OCR-ing the name tags on the spacesuits. auge does both modes in one pass.

$ auge --all apollo-11-crew.jpg
A OCR 6 lines · 38 chars 
NACA
ARMSTRONG
NA?
COLLINS
NASA
ALDRIN
# Classify 10 labels
people
75%
adult
75%
structure
22%
arch
22%
recreation
10%
sport
10%
fencing_sport
9%
clothing
8%
military_uniform
6%
jacket
6%
▦ Barcodes none
No barcodes or QR codes detected.
☻ Faces 3 detected
3 faces located. Bounding boxes overlaid on the image above.
face 1: x=0.673 y=0.496 w=0.092 h=0.118
face 2: x=0.441 y=0.698 w=0.089 h=0.113
face 3: x=0.210 y=0.511 w=0.095 h=0.121
⨯Face landmarks3 faces · 76 pts each
Per-face roll / yaw / pitch (head pose) and ~76 anchor points (eyes, brows, nose, lips, jawline, pupils). Points drawn on the image above.
face 1 — bbox=(0.211, 0.512, 0.094, 0.119) — pose not reported
faceContour 17 pts (0.862, 0.710), (0.871, 0.605), (0.870, 0.498), (0.855, 0.394), (0.823, 0.293), (0.770, 0.202), (0.701, 0.121), (0.624, 0.051), (0.523, 0.022), (0.397, 0.040), (0.281, 0.091), (0.172, 0.157), (0.080, 0.245), (0.023, 0.356), (0.001, 0.480), (-0.007, 0.606), (-0.008, 0.729)
innerLips 6 pts (0.437, 0.352), (0.537, 0.340), (0.604, 0.346), (0.609, 0.297), (0.535, 0.285), (0.430, 0.298)
leftEye 6 pts (0.257, 0.729), (0.306, 0.758), (0.379, 0.748), (0.424, 0.712), (0.373, 0.710), (0.305, 0.711)
leftEyebrow 6 pts (0.183, 0.828), (0.314, 0.876), (0.451, 0.854), (0.445, 0.810), (0.317, 0.833), (0.189, 0.805)
leftPupil 1 pt (0.314, 0.737)
medianLine 10 pts (0.562, 0.746), (0.571, 0.674), (0.581, 0.600), (0.589, 0.528), (0.567, 0.456), (0.538, 0.360), (0.537, 0.340), (0.535, 0.285), (0.532, 0.245), (0.523, 0.022)
nose 8 pts (0.571, 0.674), (0.453, 0.568), (0.446, 0.481), (0.508, 0.473), (0.567, 0.456), (0.607, 0.466), (0.648, 0.473), (0.642, 0.560)
noseCrest 6 pts (0.562, 0.746), (0.571, 0.674), (0.581, 0.600), (0.589, 0.528), (0.493, 0.521), (0.642, 0.508)
outerLips 14 pts (0.356, 0.372), (0.429, 0.372), (0.497, 0.368), (0.538, 0.360), (0.581, 0.365), (0.622, 0.365), (0.666, 0.361), (0.705, 0.352), (0.664, 0.295), (0.603, 0.256), (0.532, 0.245), (0.440, 0.257), (0.352, 0.301), (0.285, 0.368)
rightEye 6 pts (0.772, 0.723), (0.730, 0.755), (0.663, 0.747), (0.626, 0.709), (0.670, 0.704), (0.731, 0.705)
rightEyebrow 6 pts (0.861, 0.822), (0.762, 0.863), (0.656, 0.843), (0.660, 0.802), (0.759, 0.822), (0.857, 0.798)
rightPupil 1 pt (0.685, 0.732)
face 2 — bbox=(0.439, 0.698, 0.089, 0.114) — pose not reported
faceContour 17 pts (0.927, 0.755), (0.925, 0.641), (0.913, 0.524), (0.898, 0.409), (0.864, 0.297), (0.801, 0.199), (0.715, 0.120), (0.614, 0.062), (0.499, 0.040), (0.387, 0.060), (0.292, 0.118), (0.209, 0.194), (0.146, 0.287), (0.107, 0.392), (0.085, 0.501), (0.068, 0.613), (0.059, 0.722)
innerLips 6 pts (0.426, 0.316), (0.491, 0.312), (0.562, 0.317), (0.561, 0.311), (0.490, 0.308), (0.426, 0.311)
leftEye 6 pts (0.215, 0.710), (0.262, 0.738), (0.335, 0.734), (0.380, 0.703), (0.330, 0.694), (0.262, 0.691)
leftEyebrow 6 pts (0.121, 0.773), (0.244, 0.816), (0.375, 0.799), (0.372, 0.758), (0.248, 0.769), (0.127, 0.747)
leftPupil 1 pt (0.294, 0.721)
medianLine 10 pts (0.483, 0.729), (0.483, 0.647), (0.483, 0.562), (0.482, 0.481), (0.488, 0.425), (0.490, 0.331), (0.491, 0.312), (0.490, 0.308), (0.491, 0.271), (0.499, 0.040)
nose 8 pts (0.483, 0.647), (0.395, 0.533), (0.393, 0.445), (0.441, 0.438), (0.488, 0.425), (0.537, 0.439), (0.587, 0.448), (0.582, 0.535)
noseCrest 6 pts (0.483, 0.729), (0.483, 0.647), (0.483, 0.562), (0.482, 0.481), (0.417, 0.478), (0.557, 0.482)
outerLips 14 pts (0.370, 0.326), (0.412, 0.334), (0.454, 0.338), (0.490, 0.331), (0.526, 0.337), (0.573, 0.334), (0.620, 0.326), (0.667, 0.316), (0.612, 0.289), (0.551, 0.275), (0.491, 0.271), (0.436, 0.274), (0.380, 0.288), (0.330, 0.314)
rightEye 6 pts (0.765, 0.740), (0.714, 0.765), (0.639, 0.752), (0.597, 0.714), (0.650, 0.711), (0.720, 0.712)
rightEyebrow 6 pts (0.853, 0.828), (0.720, 0.855), (0.588, 0.818), (0.597, 0.776), (0.722, 0.808), (0.850, 0.801)
rightPupil 1 pt (0.693, 0.743)
face 3 — bbox=(0.672, 0.494, 0.095, 0.120) — pose not reported
faceContour 17 pts (1.018, 0.814), (1.032, 0.687), (1.039, 0.555), (1.028, 0.425), (0.979, 0.304), (0.896, 0.201), (0.797, 0.113), (0.683, 0.046), (0.554, 0.018), (0.450, 0.043), (0.375, 0.116), (0.311, 0.202), (0.257, 0.294), (0.218, 0.392), (0.190, 0.494), (0.176, 0.599), (0.174, 0.704)
innerLips 6 pts (0.454, 0.322), (0.515, 0.320), (0.603, 0.341), (0.604, 0.332), (0.515, 0.311), (0.453, 0.313)
leftEye 6 pts (0.239, 0.714), (0.279, 0.744), (0.345, 0.740), (0.386, 0.709), (0.341, 0.701), (0.280, 0.697)
leftEyebrow 6 pts (0.147, 0.789), (0.251, 0.827), (0.363, 0.809), (0.362, 0.768), (0.256, 0.780), (0.153, 0.761)
leftPupil 1 pt (0.307, 0.725)
medianLine 10 pts (0.443, 0.736), (0.443, 0.648), (0.442, 0.559), (0.444, 0.473), (0.475, 0.421), (0.511, 0.352), (0.515, 0.320), (0.515, 0.311), (0.521, 0.258), (0.554, 0.018)
nose 8 pts (0.443, 0.648), (0.386, 0.534), (0.385, 0.445), (0.430, 0.433), (0.475, 0.421), (0.536, 0.450), (0.600, 0.471), (0.582, 0.560)
noseCrest 6 pts (0.443, 0.736), (0.443, 0.648), (0.442, 0.559), (0.444, 0.473), (0.397, 0.468), (0.538, 0.493)
outerLips 14 pts (0.394, 0.343), (0.433, 0.353), (0.471, 0.355), (0.511, 0.352), (0.551, 0.363), (0.612, 0.371), (0.674, 0.375), (0.734, 0.378), (0.674, 0.320), (0.601, 0.278), (0.521, 0.258), (0.461, 0.259), (0.404, 0.285), (0.362, 0.328)
rightEye 6 pts (0.745, 0.759), (0.693, 0.779), (0.621, 0.765), (0.581, 0.728), (0.630, 0.730), (0.699, 0.736)
rightEyebrow 6 pts (0.804, 0.841), (0.654, 0.866), (0.510, 0.828), (0.521, 0.781), (0.658, 0.816), (0.802, 0.814)
rightPupil 1 pt (0.677, 0.759)
⌒Animals (cat/dog)0 detected
No cats or dogs detected by VNRecognizeAnimalsRequest. (The recognizer is conservative — paintings, distant or partial subjects often score below threshold.)
🐾Animal pose0 animals
No animal body poses detected.
⩎Body pose3 bodies
19 named joints per body — head, ears, eyes, neck, shoulders, elbows, wrists, root, hips, knees, ankles. Skeleton drawn on the image above; per-body skeleton + every joint name and (x, y, confidence) below.
person 1 — 19 joints — avg confidence 49.6% (of 16 confident joints: 58.9%)
head 3 joints head_joint (0.483, 0.765) c=0.79 left_ear_joint (0.523, 0.782) c=0.67 right_ear_joint (0.433, 0.777) c=0.76
eyes 2 joints left_eye_joint (0.502, 0.791) c=0.88 right_eye_joint (0.458, 0.784) c=0.88
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.538, 0.101) c=0.22 left_upLeg_joint (0.521, 0.314) c=0.40
left arm 3 joints left_forearm_joint (0.589, 0.451) c=0.69 left_hand_joint (0.467, 0.380) c=0.71 left_shoulder_1_joint (0.580, 0.622) c=0.67
torso 2 joints neck_1_joint (0.476, 0.621) c=0.70 root (0.458, 0.303) c=0.34
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.403, 0.084) c=0.31 right_upLeg_joint (0.394, 0.292) c=0.28
right arm 3 joints right_forearm_joint (0.327, 0.458) c=0.37 right_hand_joint (0.000, 1.000) c=0.00 right_shoulder_1_joint (0.372, 0.620) c=0.73
person 2 — 19 joints — avg confidence 51.1% (of 16 confident joints: 60.6%)
head 3 joints head_joint (0.257, 0.585) c=0.85 left_ear_joint (0.295, 0.595) c=0.13 right_ear_joint (0.193, 0.591) c=0.88
eyes 2 joints left_eye_joint (0.273, 0.606) c=0.93 right_eye_joint (0.238, 0.606) c=0.92
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.000, 1.000) c=0.00 left_upLeg_joint (0.326, 0.150) c=0.37
left arm 3 joints left_forearm_joint (0.373, 0.317) c=0.69 left_hand_joint (0.367, 0.157) c=0.71 left_shoulder_1_joint (0.329, 0.476) c=0.60
torso 2 joints neck_1_joint (0.226, 0.459) c=0.64 root (0.254, 0.133) c=0.36
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.131, 0.081) c=0.12 right_upLeg_joint (0.182, 0.116) c=0.35
right arm 3 joints right_forearm_joint (0.092, 0.263) c=0.73 right_hand_joint (0.181, 0.138) c=0.73 right_shoulder_1_joint (0.122, 0.442) c=0.69
person 3 — 19 joints — avg confidence 54.4% (of 15 confident joints: 68.9%)
head 3 joints head_joint (0.710, 0.564) c=0.82 left_ear_joint (0.773, 0.586) c=0.88 right_ear_joint (0.000, 1.000) c=0.00
eyes 2 joints left_eye_joint (0.731, 0.589) c=0.86 right_eye_joint (0.693, 0.589) c=0.94
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.000, 1.000) c=0.00 left_upLeg_joint (0.798, 0.097) c=0.42
left arm 3 joints left_forearm_joint (0.856, 0.256) c=0.76 left_hand_joint (0.761, 0.116) c=0.73 left_shoulder_1_joint (0.835, 0.429) c=0.67
torso 2 joints neck_1_joint (0.740, 0.431) c=0.72 root (0.727, 0.111) c=0.40
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.533, 0.044) c=0.48 right_upLeg_joint (0.655, 0.125) c=0.37
right arm 3 joints right_forearm_joint (0.613, 0.296) c=0.71 right_hand_joint (0.603, 0.152) c=0.79 right_shoulder_1_joint (0.646, 0.433) c=0.76
✋Hand pose2 hands
21 keypoints per hand (wrist + 4 per finger × 5 fingers). Chirality reported per hand. Per-hand skeleton + every joint with full (x, y, confidence) below.
hand 1 — 21 joints — avg confidence 78.8% (of 21 confident joints: 78.8%)
index 4 joints VNHLKIDIP (0.284, 0.085) c=0.84 VNHLKIMCP (0.252, 0.109) c=0.84 VNHLKIPIP (0.274, 0.089) c=0.86 VNHLKITIP (0.288, 0.083) c=0.91
middle 4 joints VNHLKMDIP (0.276, 0.076) c=0.84 VNHLKMMCP (0.246, 0.089) c=0.86 VNHLKMPIP (0.271, 0.074) c=0.83 VNHLKMTIP (0.275, 0.081) c=0.63
pinky 4 joints VNHLKPDIP (0.251, 0.061) c=0.75 VNHLKPMCP (0.230, 0.066) c=0.78 VNHLKPPIP (0.249, 0.055) c=0.89 VNHLKPTIP (0.249, 0.067) c=0.60
ring 4 joints VNHLKRDIP (0.262, 0.069) c=0.70 VNHLKRMCP (0.238, 0.076) c=0.87 VNHLKRPIP (0.261, 0.062) c=0.88 VNHLKRTIP (0.260, 0.074) c=0.61
thumb 4 joints VNHLKTCMC (0.226, 0.129) c=0.63 VNHLKTIP (0.265, 0.116) c=0.89 VNHLKTMP (0.248, 0.130) c=0.81 VNHLKTTIP (0.280, 0.105) c=0.89
wrist 1 joint VNHLKWRI (0.206, 0.115) c=0.63
hand 2 — 21 joints — avg confidence 71.8% (of 21 confident joints: 71.8%)
index 4 joints VNHLKIDIP (0.317, 0.044) c=0.87 VNHLKIMCP (0.343, 0.083) c=0.82 VNHLKIPIP (0.329, 0.056) c=0.83 VNHLKITIP (0.308, 0.036) c=0.83
middle 4 joints VNHLKMDIP (0.321, 0.035) c=0.80 VNHLKMMCP (0.354, 0.072) c=0.83 VNHLKMPIP (0.335, 0.042) c=0.83 VNHLKMTIP (0.313, 0.032) c=0.81
pinky 4 joints VNHLKPDIP (0.342, 0.050) c=0.56 VNHLKPMCP (0.365, 0.062) c=0.82 VNHLKPPIP (0.350, 0.053) c=0.67 VNHLKPTIP (0.335, 0.048) c=0.31
ring 4 joints VNHLKRDIP (0.329, 0.038) c=0.59 VNHLKRMCP (0.361, 0.065) c=0.75 VNHLKRPIP (0.342, 0.043) c=0.68 VNHLKRTIP (0.319, 0.036) c=0.40
thumb 4 joints VNHLKTCMC (0.344, 0.117) c=0.63 VNHLKTIP (0.317, 0.078) c=0.84 VNHLKTMP (0.328, 0.100) c=0.75 VNHLKTTIP (0.306, 0.061) c=0.89
wrist 1 joint VNHLKWRI (0.368, 0.125) c=0.58
★Aesthetics0.752
memorable
overallScore range −1.00 utility → +1.00 memorable · 87.6% along scale
●Lens smudge0.06%
clean lens
confidence 0.0006170272827148438 · 0% clean · 100% smudged
◉Saliency · attention1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 61.8% confidence — bbox=(0.118, 0.174, 0.749, 0.754)
◉Saliency · objectness1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 84.2% confidence — bbox=(0.039, 0.000, 0.907, 0.850)
▱Quadrilaterals0 detected
No four-cornered shapes found.
▭Text regions1 detected
Lightweight text-region detector (just bounding boxes — no recognition). Boxes drawn on the image above.
region 1 — 100.0% confidence — bbox=(0.143, 0.396, 0.020, 0.017)
⏤Horizonno horizon
No horizon line detected (no clear sky/ground separation).
∿Contours367 total · 200 top-level
Vector edge contours of detected shapes. 32 paths drawn on the image above (sampled from top-level).
path 1 — 6800 points —
1: (1.000, 0.001) 2: (1.000, 0.004) 3: (1.000, 0.006) 4: (1.000, 0.009) 5: (1.000, 0.011) 6: (1.000, 0.014) 7: (1.000, 0.016) 8: (1.000, 0.019) 9: (1.000, 0.021) 10: (1.000, 0.024) 11: (1.000, 0.026) 12: (1.000, 0.029) 13: (1.000, 0.031) 14: (1.000, 0.034) 15: (1.000, 0.036) 16: (1.000, 0.039) 17: (1.000, 0.041) 18: (1.000, 0.044) 19: (1.000, 0.046) 20: (1.000, 0.049)
show all 6780 more points
21: (1.000, 0.051)
22: (1.000, 0.053)
23: (1.000, 0.056)
24: (1.000, 0.058)
25: (1.000, 0.061)
26: (1.000, 0.063)
27: (1.000, 0.066)
28: (1.000, 0.068)
29: (1.000, 0.071)
30: (1.000, 0.073)
31: (1.000, 0.076)
32: (1.000, 0.078)
33: (1.000, 0.081)
34: (1.000, 0.083)
35: (1.000, 0.086)
36: (1.000, 0.088)
37: (1.000, 0.091)
38: (1.000, 0.093)
39: (1.000, 0.096)
40: (1.000, 0.098)
41: (1.000, 0.101)
42: (1.000, 0.103)
43: (1.000, 0.106)
44: (1.000, 0.108)
45: (1.000, 0.111)
46: (1.000, 0.113)
47: (1.000, 0.116)
48: (1.000, 0.118)
49: (1.000, 0.121)
50: (1.000, 0.123)
51: (1.000, 0.126)
52: (1.000, 0.128)
53: (1.000, 0.131)
54: (1.000, 0.133)
55: (1.000, 0.136)
56: (1.000, 0.138)
57: (1.000, 0.141)
58: (1.000, 0.143)
59: (1.000, 0.146)
60: (1.000, 0.148)
61: (1.000, 0.150)
62: (1.000, 0.153)
63: (1.000, 0.155)
64: (1.000, 0.158)
65: (1.000, 0.160)
66: (1.000, 0.163)
67: (1.000, 0.165)
68: (1.000, 0.168)
69: (1.000, 0.170)
70: (1.000, 0.173)
71: (1.000, 0.175)
72: (1.000, 0.178)
73: (1.000, 0.180)
74: (1.000, 0.183)
75: (1.000, 0.185)
76: (1.000, 0.188)
77: (1.000, 0.190)
78: (1.000, 0.193)
79: (1.000, 0.195)
80: (1.000, 0.198)
81: (1.000, 0.200)
82: (1.000, 0.203)
83: (1.000, 0.205)
84: (1.000, 0.208)
85: (1.000, 0.210)
86: (1.000, 0.213)
87: (1.000, 0.215)
88: (1.000, 0.218)
89: (1.000, 0.220)
90: (1.000, 0.223)
91: (1.000, 0.225)
92: (1.000, 0.228)
93: (1.000, 0.230)
94: (1.000, 0.233)
95: (1.000, 0.235)
96: (1.000, 0.238)
97: (1.000, 0.240)
98: (1.000, 0.243)
99: (1.000, 0.245)
100: (1.000, 0.248)
101: (1.000, 0.250)
102: (1.000, 0.252)
103: (1.000, 0.255)
104: (1.000, 0.257)
105: (1.000, 0.260)
106: (1.000, 0.262)
107: (1.000, 0.265)
108: (1.000, 0.267)
109: (1.000, 0.270)
110: (1.000, 0.272)
111: (1.000, 0.275)
112: (1.000, 0.277)
113: (1.000, 0.280)
114: (1.000, 0.282)
115: (1.000, 0.285)
116: (1.000, 0.287)
117: (1.000, 0.290)
118: (1.000, 0.292)
119: (1.000, 0.295)
120: (1.000, 0.297)
121: (1.000, 0.300)
122: (1.000, 0.302)
123: (1.000, 0.305)
124: (1.000, 0.307)
125: (1.000, 0.310)
126: (1.000, 0.312)
127: (1.000, 0.315)
128: (1.000, 0.317)
129: (1.000, 0.320)
130: (1.000, 0.322)
131: (1.000, 0.325)
132: (1.000, 0.327)
133: (1.000, 0.330)
134: (1.000, 0.332)
135: (1.000, 0.335)
136: (1.000, 0.337)
137: (1.000, 0.340)
138: (1.000, 0.342)
139: (1.000, 0.345)
140: (1.000, 0.347)
141: (1.000, 0.350)
142: (1.000, 0.352)
143: (1.000, 0.354)
144: (1.000, 0.357)
145: (1.000, 0.359)
146: (1.000, 0.362)
147: (1.000, 0.364)
148: (1.000, 0.367)
149: (1.000, 0.369)
150: (1.000, 0.372)
151: (1.000, 0.374)
152: (1.000, 0.377)
153: (1.000, 0.379)
154: (1.000, 0.382)
155: (1.000, 0.384)
156: (1.000, 0.387)
157: (1.000, 0.389)
158: (1.000, 0.392)
159: (1.000, 0.394)
160: (1.000, 0.397)
161: (1.000, 0.399)
162: (1.000, 0.402)
163: (1.000, 0.404)
164: (1.000, 0.407)
165: (1.000, 0.409)
166: (1.000, 0.412)
167: (1.000, 0.414)
168: (1.000, 0.417)
169: (1.000, 0.419)
170: (1.000, 0.422)
171: (1.000, 0.424)
172: (1.000, 0.427)
173: (1.000, 0.429)
174: (1.000, 0.432)
175: (1.000, 0.434)
176: (1.000, 0.437)
177: (1.000, 0.439)
178: (1.000, 0.442)
179: (1.000, 0.444)
180: (1.000, 0.447)
181: (1.000, 0.449)
182: (1.000, 0.451)
183: (1.000, 0.454)
184: (1.000, 0.456)
185: (1.000, 0.459)
186: (1.000, 0.461)
187: (1.000, 0.464)
188: (1.000, 0.466)
189: (1.000, 0.469)
190: (1.000, 0.471)
191: (1.000, 0.474)
192: (1.000, 0.476)
193: (1.000, 0.479)
194: (1.000, 0.481)
195: (1.000, 0.484)
196: (1.000, 0.486)
197: (1.000, 0.489)
198: (1.000, 0.491)
199: (1.000, 0.494)
200: (1.000, 0.496)
201: (1.000, 0.499)
202: (1.000, 0.501)
203: (1.000, 0.504)
204: (1.000, 0.506)
205: (1.000, 0.509)
206: (1.000, 0.511)
207: (1.000, 0.514)
208: (1.000, 0.516)
209: (1.000, 0.519)
210: (1.000, 0.521)
211: (1.000, 0.524)
212: (1.000, 0.526)
213: (1.000, 0.529)
214: (1.000, 0.531)
215: (1.000, 0.534)
216: (1.000, 0.536)
217: (1.000, 0.539)
218: (1.000, 0.541)
219: (1.000, 0.544)
220: (1.000, 0.546)
221: (1.000, 0.549)
222: (1.000, 0.551)
223: (1.000, 0.553)
224: (1.000, 0.556)
225: (1.000, 0.558)
226: (1.000, 0.561)
227: (1.000, 0.563)
228: (1.000, 0.566)
229: (1.000, 0.568)
230: (1.000, 0.571)
231: (1.000, 0.573)
232: (1.000, 0.576)
233: (1.000, 0.578)
234: (1.000, 0.581)
235: (1.000, 0.583)
236: (1.000, 0.586)
237: (1.000, 0.588)
238: (1.000, 0.591)
239: (1.000, 0.593)
240: (1.000, 0.596)
241: (1.000, 0.598)
242: (1.000, 0.601)
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244: (1.000, 0.606)
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1446: (0.118, 0.085)
1447: (0.118, 0.083)
1448: (0.116, 0.081)
1449: (0.114, 0.078)
1450: (0.113, 0.076)
1451: (0.112, 0.075)
1452: (0.110, 0.074)
1453: (0.108, 0.074)
1454: (0.107, 0.073)
1455: (0.106, 0.073)
1456: (0.106, 0.073)
1457: (0.106, 0.076)
1458: (0.106, 0.078)
1459: (0.106, 0.081)
1460: (0.107, 0.083)
1461: (0.108, 0.086)
1462: (0.108, 0.088)
1463: (0.110, 0.091)
1464: (0.112, 0.092)
1465: (0.114, 0.093)
1466: (0.115, 0.093)
1467: (0.116, 0.094)
1468: (0.118, 0.093)
1469: (0.120, 0.095)
1470: (0.120, 0.096)
1471: (0.118, 0.096)
1472: (0.116, 0.097)
1473: (0.116, 0.098)
1474: (0.116, 0.100)
1475: (0.118, 0.101)
1476: (0.118, 0.101)
1477: (0.120, 0.101)
1478: (0.120, 0.103)
1479: (0.120, 0.104)
1480: (0.122, 0.105)
1481: (0.124, 0.103)
1482: (0.126, 0.102)
1483: (0.128, 0.102)
1484: (0.129, 0.103)
1485: (0.128, 0.106)
1486: (0.128, 0.108)
1487: (0.128, 0.111)
1488: (0.128, 0.113)
1489: (0.128, 0.115)
1490: (0.128, 0.116)
1491: (0.130, 0.116)
1492: (0.132, 0.116)
1493: (0.134, 0.115)
1494: (0.136, 0.114)
1495: (0.138, 0.114)
1496: (0.140, 0.116)
1497: (0.140, 0.113)
1498: (0.142, 0.113)
1499: (0.144, 0.112)
1500: (0.146, 0.112)
1501: (0.147, 0.112)
1502: (0.149, 0.112)
1503: (0.151, 0.113)
1504: (0.153, 0.113)
1505: (0.155, 0.113)
1506: (0.157, 0.114)
1507: (0.159, 0.114)
1508: (0.161, 0.115)
1509: (0.163, 0.116)
1510: (0.165, 0.116)
1511: (0.167, 0.117)
1512: (0.169, 0.116)
1513: (0.170, 0.116)
1514: (0.171, 0.115)
1515: (0.173, 0.114)
1516: (0.173, 0.113)
1517: (0.175, 0.112)
1518: (0.177, 0.111)
1519: (0.178, 0.111)
1520: (0.179, 0.110)
1521: (0.181, 0.109)
1522: (0.182, 0.108)
1523: (0.183, 0.108)
1524: (0.185, 0.106)
1525: (0.186, 0.106)
1526: (0.187, 0.105)
1527: (0.188, 0.104)
1528: (0.190, 0.103)
1529: (0.192, 0.101)
1530: (0.193, 0.101)
1531: (0.194, 0.099)
1532: (0.195, 0.098)
1533: (0.196, 0.096)
1534: (0.197, 0.096)
1535: (0.198, 0.093)
1536: (0.200, 0.091)
1537: (0.202, 0.089)
1538: (0.203, 0.086)
1539: (0.204, 0.084)
1540: (0.204, 0.083)
1541: (0.206, 0.081)
1542: (0.208, 0.078)
1543: (0.208, 0.078)
1544: (0.210, 0.076)
1545: (0.211, 0.073)
1546: (0.212, 0.071)
1547: (0.212, 0.071)
1548: (0.214, 0.070)
1549: (0.216, 0.069)
1550: (0.218, 0.066)
1551: (0.220, 0.064)
1552: (0.221, 0.063)
1553: (0.224, 0.062)
1554: (0.226, 0.061)
1555: (0.228, 0.059)
1556: (0.229, 0.059)
1557: (0.231, 0.059)
1558: (0.233, 0.058)
1559: (0.235, 0.056)
1560: (0.237, 0.056)
1561: (0.237, 0.053)
1562: (0.237, 0.051)
1563: (0.237, 0.050)
1564: (0.239, 0.049)
1565: (0.239, 0.047)
1566: (0.240, 0.046)
1567: (0.239, 0.044)
1568: (0.237, 0.045)
1569: (0.236, 0.046)
1570: (0.235, 0.046)
1571: (0.233, 0.048)
1572: (0.231, 0.048)
1573: (0.229, 0.048)
1574: (0.228, 0.049)
1575: (0.228, 0.049)
1576: (0.226, 0.050)
1577: (0.224, 0.051)
1578: (0.222, 0.051)
1579: (0.220, 0.051)
1580: (0.219, 0.051)
1581: (0.218, 0.052)
1582: (0.216, 0.053)
1583: (0.214, 0.053)
1584: (0.212, 0.053)
1585: (0.210, 0.055)
1586: (0.208, 0.055)
1587: (0.206, 0.056)
1588: (0.204, 0.056)
1589: (0.202, 0.057)
1590: (0.200, 0.057)
1591: (0.198, 0.058)
1592: (0.196, 0.058)
1593: (0.194, 0.058)
1594: (0.193, 0.058)
1595: (0.192, 0.059)
1596: (0.190, 0.060)
1597: (0.188, 0.060)
1598: (0.187, 0.061)
1599: (0.185, 0.061)
1600: (0.183, 0.063)
1601: (0.181, 0.063)
1602: (0.179, 0.063)
1603: (0.177, 0.063)
1604: (0.176, 0.063)
1605: (0.175, 0.064)
1606: (0.173, 0.065)
1607: (0.171, 0.065)
1608: (0.169, 0.066)
1609: (0.167, 0.066)
1610: (0.165, 0.066)
1611: (0.163, 0.066)
1612: (0.161, 0.067)
1613: (0.159, 0.068)
1614: (0.157, 0.068)
1615: (0.155, 0.068)
1616: (0.154, 0.068)
1617: (0.153, 0.069)
1618: (0.151, 0.069)
1619: (0.149, 0.070)
1620: (0.147, 0.070)
1621: (0.146, 0.069)
1622: (0.144, 0.068)
1623: (0.146, 0.068)
1624: (0.147, 0.067)
1625: (0.149, 0.066)
1626: (0.149, 0.066)
1627: (0.151, 0.064)
1628: (0.153, 0.064)
1629: (0.155, 0.063)
1630: (0.157, 0.061)
1631: (0.159, 0.061)
1632: (0.159, 0.061)
1633: (0.161, 0.060)
1634: (0.163, 0.059)
1635: (0.165, 0.059)
1636: (0.167, 0.059)
1637: (0.169, 0.058)
1638: (0.171, 0.058)
1639: (0.172, 0.058)
1640: (0.173, 0.059)
1641: (0.175, 0.059)
1642: (0.177, 0.059)
1643: (0.179, 0.059)
1644: (0.180, 0.058)
1645: (0.181, 0.058)
1646: (0.183, 0.057)
1647: (0.184, 0.056)
1648: (0.185, 0.055)
1649: (0.187, 0.054)
1650: (0.187, 0.053)
1651: (0.188, 0.052)
1652: (0.190, 0.051)
1653: (0.192, 0.053)
1654: (0.194, 0.053)
1655: (0.196, 0.052)
1656: (0.198, 0.052)
1657: (0.200, 0.051)
1658: (0.202, 0.051)
1659: (0.204, 0.049)
1660: (0.206, 0.049)
1661: (0.208, 0.049)
1662: (0.210, 0.049)
1663: (0.212, 0.049)
1664: (0.214, 0.047)
1665: (0.216, 0.047)
1666: (0.218, 0.046)
1667: (0.220, 0.046)
1668: (0.220, 0.046)
1669: (0.222, 0.046)
1670: (0.224, 0.044)
1671: (0.226, 0.044)
1672: (0.228, 0.044)
1673: (0.228, 0.044)
1674: (0.229, 0.042)
1675: (0.231, 0.043)
1676: (0.233, 0.043)
1677: (0.235, 0.043)
1678: (0.237, 0.043)
1679: (0.239, 0.043)
1680: (0.241, 0.043)
1681: (0.243, 0.041)
1682: (0.243, 0.039)
1683: (0.243, 0.038)
1684: (0.242, 0.036)
1685: (0.241, 0.034)
1686: (0.243, 0.032)
1687: (0.244, 0.031)
1688: (0.244, 0.029)
1689: (0.243, 0.027)
1690: (0.242, 0.026)
1691: (0.241, 0.026)
1692: (0.239, 0.026)
1693: (0.237, 0.026)
1694: (0.235, 0.028)
1695: (0.234, 0.029)
1696: (0.233, 0.031)
1697: (0.233, 0.029)
1698: (0.231, 0.028)
1699: (0.229, 0.028)
1700: (0.228, 0.028)
1701: (0.227, 0.029)
1702: (0.226, 0.031)
1703: (0.224, 0.033)
1704: (0.223, 0.034)
1705: (0.222, 0.035)
1706: (0.220, 0.034)
1707: (0.220, 0.031)
1708: (0.221, 0.029)
1709: (0.222, 0.027)
1710: (0.222, 0.026)
1711: (0.224, 0.024)
1712: (0.226, 0.024)
1713: (0.226, 0.024)
1714: (0.227, 0.021)
1715: (0.226, 0.019)
1716: (0.224, 0.019)
1717: (0.222, 0.020)
1718: (0.220, 0.021)
1719: (0.218, 0.021)
1720: (0.216, 0.021)
1721: (0.214, 0.021)
1722: (0.214, 0.021)
1723: (0.212, 0.021)
1724: (0.210, 0.022)
1725: (0.208, 0.023)
1726: (0.206, 0.023)
1727: (0.204, 0.023)
1728: (0.203, 0.024)
1729: (0.202, 0.024)
1730: (0.200, 0.024)
1731: (0.198, 0.025)
1732: (0.196, 0.026)
1733: (0.195, 0.024)
1734: (0.196, 0.022)
1735: (0.198, 0.022)
1736: (0.199, 0.021)
1737: (0.200, 0.021)
1738: (0.202, 0.019)
1739: (0.204, 0.019)
1740: (0.206, 0.018)
1741: (0.208, 0.018)
1742: (0.210, 0.017)
1743: (0.212, 0.016)
1744: (0.214, 0.016)
1745: (0.215, 0.016)
1746: (0.216, 0.016)
1747: (0.218, 0.014)
1748: (0.220, 0.013)
1749: (0.222, 0.011)
1750: (0.224, 0.010)
1751: (0.226, 0.009)
1752: (0.226, 0.009)
1753: (0.228, 0.007)
1754: (0.229, 0.006)
1755: (0.231, 0.007)
1756: (0.232, 0.006)
1757: (0.233, 0.004)
1758: (0.233, 0.002)
1759: (0.233, 0.001)
1760: (0.235, 0.001)
1761: (0.237, 0.001)
1762: (0.239, 0.000)
1763: (0.241, 0.001)
1764: (0.243, 0.001)
1765: (0.245, 0.001)
1766: (0.247, 0.000)
1767: (0.249, 0.000)
1768: (0.251, 0.000)
1769: (0.253, 0.000)
1770: (0.255, 0.000)
1771: (0.257, 0.000)
1772: (0.259, 0.000)
1773: (0.261, 0.000)
1774: (0.263, 0.000)
1775: (0.265, 0.000)
1776: (0.267, 0.000)
1777: (0.269, 0.000)
1778: (0.271, 0.000)
1779: (0.272, 0.000)
1780: (0.274, 0.000)
1781: (0.276, 0.000)
1782: (0.278, 0.000)
1783: (0.280, 0.000)
1784: (0.282, 0.000)
1785: (0.284, 0.000)
1786: (0.286, 0.000)
1787: (0.288, 0.000)
1788: (0.290, 0.000)
1789: (0.292, 0.000)
1790: (0.294, 0.000)
1791: (0.296, 0.000)
1792: (0.298, 0.000)
1793: (0.300, 0.000)
1794: (0.302, 0.000)
1795: (0.304, 0.000)
1796: (0.306, 0.000)
1797: (0.308, 0.000)
1798: (0.310, 0.000)
1799: (0.312, 0.000)
1800: (0.313, 0.000)
1801: (0.315, 0.000)
1802: (0.317, 0.000)
1803: (0.319, 0.000)
1804: (0.321, 0.000)
1805: (0.323, 0.000)
1806: (0.325, 0.000)
1807: (0.327, 0.000)
1808: (0.329, 0.000)
1809: (0.331, 0.000)
1810: (0.333, 0.000)
1811: (0.335, 0.000)
1812: (0.337, 0.000)
1813: (0.339, 0.000)
1814: (0.341, 0.000)
1815: (0.343, 0.000)
1816: (0.345, 0.000)
1817: (0.347, 0.000)
1818: (0.349, 0.000)
1819: (0.351, 0.000)
1820: (0.353, 0.000)
1821: (0.354, 0.001)
1822: (0.356, 0.001)
1823: (0.358, 0.001)
1824: (0.359, 0.001)
1825: (0.358, 0.003)
1826: (0.357, 0.004)
1827: (0.354, 0.005)
1828: (0.354, 0.006)
1829: (0.353, 0.007)
1830: (0.351, 0.006)
1831: (0.353, 0.004)
1832: (0.353, 0.004)
1833: (0.353, 0.004)
1834: (0.351, 0.003)
1835: (0.349, 0.004)
1836: (0.348, 0.004)
1837: (0.347, 0.004)
1838: (0.345, 0.006)
1839: (0.343, 0.006)
1840: (0.341, 0.006)
1841: (0.339, 0.006)
1842: (0.337, 0.006)
1843: (0.335, 0.006)
1844: (0.333, 0.008)
1845: (0.331, 0.008)
1846: (0.329, 0.008)
1847: (0.328, 0.009)
1848: (0.327, 0.010)
1849: (0.325, 0.011)
1850: (0.323, 0.011)
1851: (0.325, 0.012)
1852: (0.327, 0.012)
1853: (0.329, 0.012)
1854: (0.331, 0.011)
1855: (0.333, 0.011)
1856: (0.335, 0.011)
1857: (0.337, 0.009)
1858: (0.339, 0.009)
1859: (0.341, 0.009)
1860: (0.343, 0.008)
1861: (0.345, 0.007)
1862: (0.347, 0.009)
1863: (0.347, 0.009)
1864: (0.347, 0.011)
1865: (0.347, 0.012)
1866: (0.346, 0.014)
1867: (0.345, 0.015)
1868: (0.343, 0.016)
1869: (0.342, 0.016)
1870: (0.341, 0.017)
1871: (0.339, 0.018)
1872: (0.337, 0.018)
1873: (0.336, 0.019)
1874: (0.337, 0.019)
1875: (0.339, 0.019)
1876: (0.341, 0.021)
1877: (0.343, 0.021)
1878: (0.345, 0.022)
1879: (0.347, 0.022)
1880: (0.349, 0.022)
1881: (0.351, 0.022)
1882: (0.353, 0.023)
1883: (0.354, 0.024)
1884: (0.353, 0.025)
1885: (0.351, 0.026)
1886: (0.349, 0.029)
1887: (0.351, 0.029)
1888: (0.353, 0.031)
1889: (0.354, 0.034)
1890: (0.354, 0.034)
1891: (0.355, 0.036)
1892: (0.356, 0.039)
1893: (0.358, 0.039)
1894: (0.360, 0.041)
1895: (0.360, 0.044)
1896: (0.360, 0.046)
1897: (0.358, 0.048)
1898: (0.358, 0.049)
1899: (0.358, 0.051)
1900: (0.358, 0.053)
1901: (0.360, 0.056)
1902: (0.362, 0.058)
1903: (0.364, 0.058)
1904: (0.366, 0.058)
1905: (0.368, 0.059)
1906: (0.370, 0.059)
1907: (0.372, 0.059)
1908: (0.374, 0.059)
1909: (0.376, 0.059)
1910: (0.378, 0.061)
1911: (0.378, 0.061)
1912: (0.380, 0.061)
1913: (0.382, 0.063)
1914: (0.381, 0.066)
1915: (0.380, 0.068)
1916: (0.380, 0.071)
1917: (0.381, 0.073)
1918: (0.382, 0.076)
1919: (0.382, 0.077)
1920: (0.382, 0.078)
1921: (0.382, 0.081)
1922: (0.384, 0.083)
1923: (0.385, 0.086)
1924: (0.386, 0.088)
1925: (0.384, 0.090)
1926: (0.382, 0.089)
1927: (0.382, 0.088)
1928: (0.380, 0.088)
1929: (0.378, 0.088)
1930: (0.376, 0.086)
1931: (0.374, 0.085)
1932: (0.374, 0.086)
1933: (0.374, 0.088)
1934: (0.374, 0.091)
1935: (0.375, 0.093)
1936: (0.374, 0.096)
1937: (0.376, 0.098)
1938: (0.378, 0.096)
1939: (0.380, 0.096)
1940: (0.382, 0.096)
1941: (0.384, 0.096)
1942: (0.386, 0.097)
1943: (0.388, 0.098)
1944: (0.388, 0.098)
1945: (0.389, 0.101)
1946: (0.389, 0.103)
1947: (0.389, 0.106)
1948: (0.388, 0.106)
1949: (0.387, 0.106)
1950: (0.387, 0.103)
1951: (0.386, 0.101)
1952: (0.384, 0.101)
1953: (0.382, 0.101)
1954: (0.380, 0.101)
1955: (0.378, 0.100)
1956: (0.376, 0.100)
1957: (0.378, 0.103)
1958: (0.378, 0.104)
1959: (0.380, 0.104)
1960: (0.382, 0.105)
1961: (0.383, 0.106)
1962: (0.384, 0.106)
1963: (0.385, 0.108)
1964: (0.386, 0.109)
1965: (0.387, 0.111)
1966: (0.390, 0.113)
1967: (0.391, 0.116)
1968: (0.391, 0.118)
1969: (0.391, 0.121)
1970: (0.391, 0.123)
1971: (0.391, 0.126)
1972: (0.391, 0.128)
1973: (0.391, 0.131)
1974: (0.392, 0.131)
1975: (0.393, 0.133)
1976: (0.393, 0.136)
1977: (0.394, 0.138)
1978: (0.394, 0.138)
1979: (0.395, 0.141)
1980: (0.397, 0.143)
1981: (0.399, 0.143)
1982: (0.400, 0.143)
1983: (0.400, 0.141)
1984: (0.400, 0.138)
1985: (0.399, 0.136)
1986: (0.399, 0.133)
1987: (0.399, 0.131)
1988: (0.399, 0.130)
1989: (0.401, 0.128)
1990: (0.403, 0.128)
1991: (0.405, 0.127)
1992: (0.407, 0.128)
1993: (0.409, 0.126)
1994: (0.410, 0.123)
1995: (0.411, 0.122)
1996: (0.413, 0.121)
1997: (0.415, 0.118)
1998: (0.415, 0.118)
1999: (0.417, 0.116)
2000: (0.419, 0.113)
2001: (0.421, 0.111)
2002: (0.421, 0.111)
2003: (0.423, 0.109)
2004: (0.425, 0.106)
2005: (0.427, 0.107)
2006: (0.429, 0.107)
2007: (0.431, 0.106)
2008: (0.433, 0.106)
2009: (0.435, 0.106)
2010: (0.437, 0.105)
2011: (0.438, 0.106)
2012: (0.438, 0.108)
2013: (0.437, 0.111)
2014: (0.437, 0.113)
2015: (0.436, 0.116)
2016: (0.436, 0.118)
2017: (0.435, 0.120)
2018: (0.433, 0.121)
2019: (0.433, 0.121)
2020: (0.432, 0.123)
2021: (0.431, 0.126)
2022: (0.431, 0.128)
2023: (0.429, 0.131)
2024: (0.429, 0.133)
2025: (0.429, 0.135)
2026: (0.429, 0.138)
2027: (0.429, 0.141)
2028: (0.431, 0.143)
2029: (0.432, 0.143)
2030: (0.431, 0.145)
2031: (0.430, 0.146)
2032: (0.429, 0.148)
2033: (0.429, 0.150)
2034: (0.429, 0.151)
2035: (0.429, 0.153)
2036: (0.431, 0.154)
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3199: (0.093, 0.439)
3200: (0.093, 0.439)
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4264: (0.396, 0.626)
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4299: (0.415, 0.665)
4300: (0.417, 0.663)
4301: (0.417, 0.661)
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4310: (0.429, 0.651)
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4320: (0.444, 0.642)
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4325: (0.453, 0.636)
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4330: (0.458, 0.630)
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show all 59 more points
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path 7 — 17 points —
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path 10 — 13 points —
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path 12 — 4 points —
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path 13 — 11 points —
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path 14 — 53 points —
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show all 33 more points
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path 15 — 10 points —
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show all 75 more points
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path 17 — 4 points —
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path 18 — 19 points —
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path 19 — 24 points —
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show all 4 more points
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path 20 — 9 points —
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path 21 — 14 points —
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path 22 — 4 points —
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path 25 — 14 points —
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path 26 — 29 points —
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show all 9 more points
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path 27 — 10 points —
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path 29 — 4 points —
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path 30 — 4 points —
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path 31 — 11 points —
1: (0.455, 0.471) 2: (0.456, 0.474) 3: (0.456, 0.476) 4: (0.456, 0.479) 5: (0.454, 0.480) 6: (0.452, 0.479) 7: (0.451, 0.476) 8: (0.451, 0.474) 9: (0.451, 0.471) 10: (0.452, 0.470) 11: (0.454, 0.470)
path 32 — 9 points —
1: (0.835, 0.464) 2: (0.833, 0.465) 3: (0.833, 0.466) 4: (0.831, 0.469) 5: (0.829, 0.469) 6: (0.829, 0.466) 7: (0.831, 0.465) 8: (0.833, 0.464) 9: (0.833, 0.463)
⊟Feature print (embedding)768-D · float
Fixed-length descriptor (image embedding). Used for similarity / dedup via cosine distance. Sparkline shows the first 64 of 768 dimensions.
first 8 values: 0.041,0.031,0.009,0.094,0.004,0.063,-0.009,-0.024
{} Raw JSON 14 capability runs · on-device
Every Vision pass auge ran on this image. Click a file to see the full, un-truncated output (vector embeddings, full landmark points, every contour point — exactly what auge produced):
Wikimedia source
QR code - Wikipedia URL
attention 1 · 65%
barcode 2024 CC0 (algorithmic)

QR code - Wikipedia URL

A QR code that decodes to Wikipedia's mobile URL. auge --all decodes the barcode and runs every other analysis on the same image, on-device, no camera, no network.

$ auge --all qr-wikipedia.png
A OCR no text
No text detected in this image.
# Classify 10 labels
art
9%
illustrations
9%
document
4%
printed_page
3%
chart
3%
diagram
3%
structure
2%
sign
2%
decoration
1%
frame
1%
▦ Barcodes 1 found
QR http://en.m.wikipedia.org
☻ Faces 0 detected
No faces detected.
⨯Face landmarks0 faces
No faces detected, so no landmarks.
⌒Animals (cat/dog)0 detected
No cats or dogs detected by VNRecognizeAnimalsRequest. (The recognizer is conservative — paintings, distant or partial subjects often score below threshold.)
🐾Animal pose0 animals
No animal body poses detected.
⩎Body pose0 bodies
No human body poses detected.
✋Hand pose0 hands
No hands detected.
★Aesthetics0.455
memorable
overallScore range −1.00 utility → +1.00 memorable · 72.7% along scale
●Lens smudge0.00%
clean lens
confidence 0 · 0% clean · 100% smudged
◉Saliency · attention1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 65.2% confidence — bbox=(0.052, 0.227, 0.891, 0.773)
◉Saliency · objectness3 regions
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 49.8% confidence — bbox=(0.073, 0.100, 0.334, 0.522)
region 2 — 41.2% confidence — bbox=(0.045, 0.446, 0.297, 0.532)
region 3 — 56.9% confidence — bbox=(0.602, 0.369, 0.297, 0.529)
▱Quadrilaterals3 detected
3 four-cornered shapes — paper, screens, signs. Outlined on the image above.
rect 1 — 100.0% confidence — corners tl(0.098,0.305) tr(0.305,0.304) bl(0.098,0.098) br(0.304,0.098)
rect 2 — 100.0% confidence — corners tl(0.098,0.899) tr(0.305,0.898) bl(0.098,0.692) br(0.304,0.693)
rect 3 — 100.0% confidence — corners tl(0.692,0.900) tr(0.899,0.897) bl(0.694,0.693) br(0.899,0.692)
▭Text regions0 detected
No text regions detected by the cheap probe.
⏤Horizonno horizon
No horizon line detected (no clear sky/ground separation).
∿Contours47 total · 8 top-level
Vector edge contours of detected shapes. 8 paths drawn on the image above (sampled from top-level).
path 1 — 387 points —
1: (0.297, 0.704) 2: (0.297, 0.706) 3: (0.297, 0.708) 4: (0.297, 0.710) 5: (0.297, 0.712) 6: (0.297, 0.714) 7: (0.297, 0.716) 8: (0.297, 0.718) 9: (0.297, 0.720) 10: (0.297, 0.722) 11: (0.297, 0.724) 12: (0.297, 0.726) 13: (0.297, 0.728) 14: (0.297, 0.729) 15: (0.297, 0.731) 16: (0.297, 0.733) 17: (0.297, 0.735) 18: (0.297, 0.737) 19: (0.297, 0.739) 20: (0.297, 0.741)
show all 367 more points
21: (0.297, 0.743)
22: (0.297, 0.745)
23: (0.297, 0.747)
24: (0.297, 0.749)
25: (0.297, 0.751)
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72: (0.297, 0.843)
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91: (0.297, 0.880)
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path 2 — 139 points —
1: (0.893, 0.487) 2: (0.893, 0.489) 3: (0.893, 0.491) 4: (0.893, 0.493) 5: (0.893, 0.495) 6: (0.893, 0.497) 7: (0.893, 0.499) 8: (0.893, 0.501) 9: (0.893, 0.503) 10: (0.893, 0.505) 11: (0.893, 0.507) 12: (0.893, 0.509) 13: (0.893, 0.511) 14: (0.893, 0.513) 15: (0.893, 0.515) 16: (0.893, 0.517) 17: (0.893, 0.519) 18: (0.893, 0.521) 19: (0.893, 0.522) 20: (0.893, 0.524)
show all 119 more points
21: (0.893, 0.526)
22: (0.893, 0.528)
23: (0.893, 0.530)
24: (0.893, 0.532)
25: (0.893, 0.534)
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28: (0.892, 0.540)
29: (0.892, 0.541)
30: (0.890, 0.541)
31: (0.888, 0.541)
32: (0.886, 0.541)
33: (0.884, 0.541)
34: (0.882, 0.541)
35: (0.880, 0.541)
36: (0.878, 0.541)
37: (0.876, 0.541)
38: (0.874, 0.541)
39: (0.872, 0.541)
40: (0.870, 0.541)
41: (0.868, 0.541)
42: (0.866, 0.541)
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46: (0.865, 0.548)
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50: (0.865, 0.556)
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54: (0.865, 0.563)
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63: (0.851, 0.568)
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65: (0.847, 0.568)
66: (0.845, 0.568)
67: (0.843, 0.568)
68: (0.841, 0.568)
69: (0.839, 0.568)
70: (0.838, 0.567)
71: (0.838, 0.565)
72: (0.838, 0.563)
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76: (0.838, 0.556)
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81: (0.838, 0.546)
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84: (0.839, 0.541)
85: (0.841, 0.540)
86: (0.843, 0.540)
87: (0.845, 0.540)
88: (0.847, 0.540)
89: (0.849, 0.540)
90: (0.851, 0.540)
91: (0.853, 0.540)
92: (0.854, 0.540)
93: (0.856, 0.540)
94: (0.858, 0.540)
95: (0.860, 0.540)
96: (0.862, 0.541)
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98: (0.864, 0.540)
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104: (0.865, 0.528)
105: (0.865, 0.526)
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110: (0.865, 0.517)
111: (0.865, 0.515)
112: (0.865, 0.513)
113: (0.865, 0.511)
114: (0.865, 0.509)
115: (0.865, 0.507)
116: (0.865, 0.505)
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118: (0.865, 0.501)
119: (0.865, 0.499)
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122: (0.865, 0.493)
123: (0.865, 0.491)
124: (0.865, 0.489)
125: (0.865, 0.487)
126: (0.866, 0.486)
127: (0.868, 0.486)
128: (0.870, 0.486)
129: (0.872, 0.486)
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131: (0.876, 0.486)
132: (0.878, 0.486)
133: (0.880, 0.486)
134: (0.882, 0.486)
135: (0.884, 0.486)
136: (0.886, 0.486)
137: (0.888, 0.486)
138: (0.890, 0.486)
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path 3 — 387 points —
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show all 367 more points
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path 4 — 195 points —
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show all 175 more points
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path 5 — 56 points —
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show all 36 more points
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path 6 — 387 points —
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show all 367 more points
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path 7 — 55 points —
1: (0.892, 0.108) 2: (0.893, 0.110) 3: (0.893, 0.112) 4: (0.893, 0.114) 5: (0.893, 0.116) 6: (0.893, 0.118) 7: (0.893, 0.120) 8: (0.893, 0.122) 9: (0.893, 0.124) 10: (0.893, 0.126) 11: (0.893, 0.128) 12: (0.893, 0.130) 13: (0.893, 0.132) 14: (0.893, 0.134) 15: (0.892, 0.135) 16: (0.890, 0.135) 17: (0.888, 0.135) 18: (0.886, 0.135) 19: (0.884, 0.135) 20: (0.882, 0.135)
show all 35 more points
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path 8 — 5941 points —
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show all 5921 more points
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1361: (0.676, 0.708)
1362: (0.676, 0.710)
1363: (0.676, 0.712)
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1365: (0.676, 0.716)
1366: (0.676, 0.718)
1367: (0.676, 0.720)
1368: (0.676, 0.722)
1369: (0.676, 0.724)
1370: (0.676, 0.726)
1371: (0.676, 0.728)
1372: (0.676, 0.729)
1373: (0.675, 0.730)
1374: (0.673, 0.730)
1375: (0.671, 0.730)
1376: (0.669, 0.730)
1377: (0.667, 0.730)
1378: (0.665, 0.730)
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1380: (0.661, 0.730)
1381: (0.659, 0.730)
1382: (0.657, 0.730)
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1384: (0.653, 0.730)
1385: (0.651, 0.730)
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1387: (0.648, 0.729)
1388: (0.648, 0.728)
1389: (0.648, 0.726)
1390: (0.648, 0.724)
1391: (0.648, 0.722)
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1394: (0.648, 0.716)
1395: (0.648, 0.714)
1396: (0.648, 0.712)
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1399: (0.648, 0.706)
1400: (0.648, 0.704)
1401: (0.647, 0.703)
1402: (0.646, 0.703)
1403: (0.644, 0.703)
1404: (0.642, 0.703)
1405: (0.640, 0.703)
1406: (0.638, 0.703)
1407: (0.636, 0.703)
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1425: (0.622, 0.726)
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1430: (0.622, 0.735)
1431: (0.622, 0.737)
1432: (0.622, 0.739)
1433: (0.622, 0.741)
1434: (0.622, 0.743)
1435: (0.622, 0.745)
1436: (0.622, 0.747)
1437: (0.622, 0.749)
1438: (0.622, 0.751)
1439: (0.622, 0.753)
1440: (0.622, 0.755)
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1444: (0.622, 0.763)
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1446: (0.622, 0.767)
1447: (0.622, 0.769)
1448: (0.622, 0.771)
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1450: (0.622, 0.774)
1451: (0.622, 0.776)
1452: (0.622, 0.778)
1453: (0.622, 0.780)
1454: (0.622, 0.782)
1455: (0.620, 0.784)
1456: (0.618, 0.784)
1457: (0.616, 0.784)
1458: (0.614, 0.784)
1459: (0.612, 0.784)
1460: (0.610, 0.784)
1461: (0.608, 0.784)
1462: (0.606, 0.784)
1463: (0.604, 0.784)
1464: (0.603, 0.784)
1465: (0.601, 0.784)
1466: (0.600, 0.784)
1467: (0.599, 0.784)
1468: (0.597, 0.784)
1469: (0.595, 0.786)
1470: (0.595, 0.788)
1471: (0.595, 0.790)
1472: (0.595, 0.792)
1473: (0.595, 0.794)
1474: (0.595, 0.796)
1475: (0.595, 0.798)
1476: (0.595, 0.800)
1477: (0.595, 0.802)
1478: (0.595, 0.804)
1479: (0.595, 0.806)
1480: (0.595, 0.808)
1481: (0.595, 0.810)
1482: (0.595, 0.812)
1483: (0.595, 0.813)
1484: (0.595, 0.815)
1485: (0.595, 0.817)
1486: (0.595, 0.819)
1487: (0.595, 0.821)
1488: (0.595, 0.823)
1489: (0.595, 0.825)
1490: (0.595, 0.827)
1491: (0.595, 0.829)
1492: (0.595, 0.831)
1493: (0.595, 0.833)
1494: (0.595, 0.835)
1495: (0.596, 0.837)
1496: (0.597, 0.838)
1497: (0.599, 0.838)
1498: (0.601, 0.838)
1499: (0.603, 0.838)
1500: (0.604, 0.838)
1501: (0.606, 0.838)
1502: (0.608, 0.838)
1503: (0.610, 0.838)
1504: (0.612, 0.838)
1505: (0.614, 0.838)
1506: (0.616, 0.838)
1507: (0.618, 0.838)
1508: (0.620, 0.838)
1509: (0.621, 0.837)
1510: (0.621, 0.835)
1511: (0.621, 0.833)
1512: (0.621, 0.831)
1513: (0.621, 0.829)
1514: (0.621, 0.827)
1515: (0.621, 0.825)
1516: (0.621, 0.823)
1517: (0.621, 0.821)
1518: (0.621, 0.819)
1519: (0.621, 0.817)
1520: (0.621, 0.815)
1521: (0.621, 0.813)
1522: (0.621, 0.812)
1523: (0.622, 0.811)
1524: (0.624, 0.811)
1525: (0.626, 0.811)
1526: (0.628, 0.811)
1527: (0.630, 0.811)
1528: (0.632, 0.811)
1529: (0.634, 0.811)
1530: (0.636, 0.811)
1531: (0.638, 0.811)
1532: (0.640, 0.811)
1533: (0.642, 0.811)
1534: (0.644, 0.811)
1535: (0.646, 0.811)
1536: (0.647, 0.811)
1537: (0.649, 0.811)
1538: (0.651, 0.811)
1539: (0.653, 0.811)
1540: (0.655, 0.811)
1541: (0.657, 0.811)
1542: (0.659, 0.811)
1543: (0.661, 0.811)
1544: (0.663, 0.811)
1545: (0.665, 0.811)
1546: (0.667, 0.811)
1547: (0.669, 0.811)
1548: (0.671, 0.811)
1549: (0.673, 0.811)
1550: (0.675, 0.811)
1551: (0.676, 0.812)
1552: (0.676, 0.813)
1553: (0.676, 0.815)
1554: (0.676, 0.817)
1555: (0.676, 0.819)
1556: (0.676, 0.821)
1557: (0.676, 0.823)
1558: (0.676, 0.825)
1559: (0.676, 0.827)
1560: (0.676, 0.829)
1561: (0.676, 0.831)
1562: (0.676, 0.833)
1563: (0.676, 0.835)
1564: (0.676, 0.837)
1565: (0.676, 0.839)
1566: (0.676, 0.841)
1567: (0.676, 0.843)
1568: (0.676, 0.845)
1569: (0.676, 0.847)
1570: (0.676, 0.849)
1571: (0.676, 0.851)
1572: (0.676, 0.853)
1573: (0.676, 0.854)
1574: (0.676, 0.856)
1575: (0.676, 0.858)
1576: (0.676, 0.860)
1577: (0.676, 0.862)
1578: (0.676, 0.864)
1579: (0.676, 0.866)
1580: (0.676, 0.868)
1581: (0.676, 0.870)
1582: (0.676, 0.872)
1583: (0.676, 0.874)
1584: (0.676, 0.876)
1585: (0.676, 0.878)
1586: (0.676, 0.880)
1587: (0.676, 0.882)
1588: (0.676, 0.884)
1589: (0.676, 0.886)
1590: (0.676, 0.888)
1591: (0.676, 0.890)
1592: (0.676, 0.892)
1593: (0.675, 0.893)
1594: (0.673, 0.893)
1595: (0.671, 0.893)
1596: (0.669, 0.893)
1597: (0.667, 0.893)
1598: (0.665, 0.893)
1599: (0.663, 0.893)
1600: (0.661, 0.893)
1601: (0.659, 0.893)
1602: (0.657, 0.893)
1603: (0.655, 0.893)
1604: (0.653, 0.893)
1605: (0.651, 0.893)
1606: (0.649, 0.893)
1607: (0.647, 0.893)
1608: (0.646, 0.893)
1609: (0.644, 0.893)
1610: (0.642, 0.893)
1611: (0.640, 0.893)
1612: (0.638, 0.893)
1613: (0.636, 0.893)
1614: (0.634, 0.893)
1615: (0.632, 0.893)
1616: (0.630, 0.893)
1617: (0.628, 0.893)
1618: (0.626, 0.893)
1619: (0.624, 0.893)
1620: (0.622, 0.892)
1621: (0.622, 0.892)
1622: (0.621, 0.890)
1623: (0.621, 0.888)
1624: (0.621, 0.886)
1625: (0.621, 0.884)
1626: (0.621, 0.882)
1627: (0.621, 0.880)
1628: (0.621, 0.878)
1629: (0.621, 0.876)
1630: (0.621, 0.874)
1631: (0.621, 0.872)
1632: (0.621, 0.870)
1633: (0.621, 0.868)
1634: (0.621, 0.866)
1635: (0.620, 0.865)
1636: (0.618, 0.865)
1637: (0.616, 0.865)
1638: (0.614, 0.865)
1639: (0.612, 0.865)
1640: (0.610, 0.865)
1641: (0.608, 0.865)
1642: (0.606, 0.865)
1643: (0.604, 0.865)
1644: (0.603, 0.865)
1645: (0.601, 0.865)
1646: (0.599, 0.865)
1647: (0.597, 0.865)
1648: (0.595, 0.865)
1649: (0.594, 0.864)
1650: (0.594, 0.862)
1651: (0.594, 0.860)
1652: (0.594, 0.858)
1653: (0.594, 0.856)
1654: (0.594, 0.854)
1655: (0.594, 0.853)
1656: (0.594, 0.851)
1657: (0.594, 0.849)
1658: (0.594, 0.847)
1659: (0.594, 0.845)
1660: (0.594, 0.843)
1661: (0.594, 0.841)
1662: (0.594, 0.839)
1663: (0.593, 0.838)
1664: (0.591, 0.838)
1665: (0.589, 0.838)
1666: (0.587, 0.838)
1667: (0.585, 0.838)
1668: (0.583, 0.838)
1669: (0.581, 0.838)
1670: (0.579, 0.838)
1671: (0.577, 0.838)
1672: (0.575, 0.838)
1673: (0.573, 0.838)
1674: (0.571, 0.838)
1675: (0.569, 0.838)
1676: (0.567, 0.838)
1677: (0.565, 0.838)
1678: (0.563, 0.838)
1679: (0.562, 0.838)
1680: (0.560, 0.838)
1681: (0.558, 0.838)
1682: (0.556, 0.838)
1683: (0.554, 0.838)
1684: (0.552, 0.838)
1685: (0.550, 0.838)
1686: (0.548, 0.838)
1687: (0.546, 0.838)
1688: (0.544, 0.838)
1689: (0.542, 0.838)
1690: (0.541, 0.839)
1691: (0.541, 0.841)
1692: (0.541, 0.843)
1693: (0.541, 0.845)
1694: (0.541, 0.847)
1695: (0.541, 0.849)
1696: (0.541, 0.851)
1697: (0.541, 0.853)
1698: (0.541, 0.854)
1699: (0.541, 0.856)
1700: (0.541, 0.858)
1701: (0.541, 0.860)
1702: (0.541, 0.862)
1703: (0.542, 0.864)
1704: (0.544, 0.865)
1705: (0.546, 0.865)
1706: (0.548, 0.865)
1707: (0.550, 0.865)
1708: (0.552, 0.865)
1709: (0.554, 0.865)
1710: (0.556, 0.865)
1711: (0.558, 0.865)
1712: (0.560, 0.865)
1713: (0.562, 0.865)
1714: (0.563, 0.865)
1715: (0.565, 0.865)
1716: (0.567, 0.865)
1717: (0.568, 0.866)
1718: (0.568, 0.868)
1719: (0.568, 0.870)
1720: (0.568, 0.872)
1721: (0.568, 0.874)
1722: (0.568, 0.876)
1723: (0.568, 0.878)
1724: (0.568, 0.880)
1725: (0.568, 0.882)
1726: (0.568, 0.884)
1727: (0.568, 0.886)
1728: (0.568, 0.888)
1729: (0.568, 0.890)
1730: (0.567, 0.892)
1731: (0.565, 0.893)
1732: (0.563, 0.893)
1733: (0.562, 0.893)
1734: (0.560, 0.893)
1735: (0.558, 0.893)
1736: (0.556, 0.893)
1737: (0.554, 0.893)
1738: (0.552, 0.893)
1739: (0.550, 0.893)
1740: (0.548, 0.893)
1741: (0.546, 0.893)
1742: (0.544, 0.893)
1743: (0.542, 0.893)
1744: (0.540, 0.893)
1745: (0.538, 0.893)
1746: (0.536, 0.893)
1747: (0.534, 0.893)
1748: (0.532, 0.893)
1749: (0.530, 0.893)
1750: (0.528, 0.893)
1751: (0.526, 0.893)
1752: (0.524, 0.893)
1753: (0.522, 0.893)
1754: (0.521, 0.893)
1755: (0.519, 0.893)
1756: (0.517, 0.893)
1757: (0.515, 0.893)
1758: (0.514, 0.892)
1759: (0.513, 0.890)
1760: (0.513, 0.888)
1761: (0.513, 0.886)
1762: (0.513, 0.884)
1763: (0.513, 0.882)
1764: (0.513, 0.880)
1765: (0.513, 0.878)
1766: (0.513, 0.876)
1767: (0.513, 0.874)
1768: (0.513, 0.872)
1769: (0.513, 0.870)
1770: (0.513, 0.868)
1771: (0.513, 0.866)
1772: (0.513, 0.864)
1773: (0.513, 0.862)
1774: (0.513, 0.860)
1775: (0.513, 0.858)
1776: (0.513, 0.856)
1777: (0.513, 0.854)
1778: (0.513, 0.853)
1779: (0.513, 0.851)
1780: (0.513, 0.849)
1781: (0.513, 0.847)
1782: (0.513, 0.845)
1783: (0.513, 0.843)
1784: (0.513, 0.841)
1785: (0.513, 0.839)
1786: (0.515, 0.838)
1787: (0.517, 0.838)
1788: (0.519, 0.838)
1789: (0.521, 0.838)
1790: (0.522, 0.838)
1791: (0.524, 0.838)
1792: (0.526, 0.838)
1793: (0.528, 0.838)
1794: (0.530, 0.838)
1795: (0.532, 0.838)
1796: (0.534, 0.838)
1797: (0.536, 0.838)
1798: (0.538, 0.838)
1799: (0.540, 0.837)
1800: (0.540, 0.835)
1801: (0.540, 0.833)
1802: (0.540, 0.831)
1803: (0.540, 0.829)
1804: (0.540, 0.827)
1805: (0.540, 0.825)
1806: (0.540, 0.823)
1807: (0.540, 0.821)
1808: (0.540, 0.819)
1809: (0.540, 0.817)
1810: (0.540, 0.815)
1811: (0.540, 0.813)
1812: (0.540, 0.812)
1813: (0.538, 0.811)
1814: (0.536, 0.811)
1815: (0.534, 0.811)
1816: (0.532, 0.811)
1817: (0.530, 0.811)
1818: (0.528, 0.811)
1819: (0.526, 0.811)
1820: (0.524, 0.811)
1821: (0.522, 0.811)
1822: (0.521, 0.811)
1823: (0.519, 0.811)
1824: (0.517, 0.811)
1825: (0.515, 0.811)
1826: (0.513, 0.811)
1827: (0.511, 0.811)
1828: (0.509, 0.811)
1829: (0.507, 0.811)
1830: (0.505, 0.811)
1831: (0.503, 0.811)
1832: (0.501, 0.811)
1833: (0.499, 0.811)
1834: (0.497, 0.811)
1835: (0.495, 0.811)
1836: (0.493, 0.811)
1837: (0.491, 0.811)
1838: (0.489, 0.811)
1839: (0.487, 0.812)
1840: (0.487, 0.813)
1841: (0.487, 0.815)
1842: (0.487, 0.817)
1843: (0.487, 0.819)
1844: (0.487, 0.821)
1845: (0.487, 0.823)
1846: (0.487, 0.825)
1847: (0.487, 0.827)
1848: (0.487, 0.829)
1849: (0.487, 0.831)
1850: (0.487, 0.833)
1851: (0.487, 0.835)
1852: (0.487, 0.837)
1853: (0.487, 0.839)
1854: (0.487, 0.841)
1855: (0.487, 0.843)
1856: (0.487, 0.845)
1857: (0.487, 0.847)
1858: (0.487, 0.849)
1859: (0.487, 0.851)
1860: (0.487, 0.853)
1861: (0.487, 0.854)
1862: (0.487, 0.856)
1863: (0.487, 0.858)
1864: (0.487, 0.860)
1865: (0.487, 0.862)
1866: (0.486, 0.864)
1867: (0.485, 0.865)
1868: (0.483, 0.865)
1869: (0.481, 0.865)
1870: (0.479, 0.865)
1871: (0.478, 0.865)
1872: (0.476, 0.865)
1873: (0.474, 0.865)
1874: (0.472, 0.865)
1875: (0.470, 0.865)
1876: (0.468, 0.865)
1877: (0.466, 0.865)
1878: (0.464, 0.865)
1879: (0.462, 0.865)
1880: (0.460, 0.865)
1881: (0.459, 0.864)
1882: (0.459, 0.862)
1883: (0.459, 0.860)
1884: (0.459, 0.858)
1885: (0.459, 0.856)
1886: (0.459, 0.854)
1887: (0.459, 0.853)
1888: (0.459, 0.851)
1889: (0.459, 0.849)
1890: (0.459, 0.847)
1891: (0.459, 0.845)
1892: (0.459, 0.843)
1893: (0.459, 0.841)
1894: (0.459, 0.839)
1895: (0.459, 0.837)
1896: (0.459, 0.835)
1897: (0.459, 0.833)
1898: (0.459, 0.831)
1899: (0.459, 0.829)
1900: (0.459, 0.827)
1901: (0.459, 0.825)
1902: (0.459, 0.823)
1903: (0.459, 0.821)
1904: (0.459, 0.819)
1905: (0.459, 0.817)
1906: (0.459, 0.815)
1907: (0.459, 0.813)
1908: (0.459, 0.812)
1909: (0.459, 0.810)
1910: (0.459, 0.808)
1911: (0.459, 0.806)
1912: (0.459, 0.804)
1913: (0.459, 0.802)
1914: (0.459, 0.800)
1915: (0.459, 0.798)
1916: (0.459, 0.796)
1917: (0.459, 0.794)
1918: (0.459, 0.792)
1919: (0.459, 0.790)
1920: (0.459, 0.788)
1921: (0.459, 0.786)
1922: (0.459, 0.784)
1923: (0.459, 0.782)
1924: (0.459, 0.780)
1925: (0.459, 0.778)
1926: (0.459, 0.776)
1927: (0.459, 0.774)
1928: (0.459, 0.772)
1929: (0.459, 0.771)
1930: (0.459, 0.769)
1931: (0.459, 0.767)
1932: (0.459, 0.765)
1933: (0.459, 0.763)
1934: (0.459, 0.761)
1935: (0.459, 0.759)
1936: (0.458, 0.758)
1937: (0.456, 0.758)
1938: (0.454, 0.758)
1939: (0.452, 0.758)
1940: (0.450, 0.758)
1941: (0.448, 0.758)
1942: (0.446, 0.758)
1943: (0.444, 0.758)
1944: (0.442, 0.758)
1945: (0.440, 0.758)
1946: (0.438, 0.758)
1947: (0.437, 0.758)
1948: (0.435, 0.758)
1949: (0.433, 0.759)
1950: (0.433, 0.761)
1951: (0.433, 0.763)
1952: (0.433, 0.765)
1953: (0.433, 0.767)
1954: (0.433, 0.769)
1955: (0.433, 0.771)
1956: (0.433, 0.772)
1957: (0.433, 0.774)
1958: (0.433, 0.776)
1959: (0.433, 0.778)
1960: (0.433, 0.780)
1961: (0.433, 0.782)
1962: (0.433, 0.783)
1963: (0.431, 0.784)
1964: (0.429, 0.784)
1965: (0.427, 0.784)
1966: (0.425, 0.784)
1967: (0.423, 0.784)
1968: (0.421, 0.784)
1969: (0.419, 0.784)
1970: (0.417, 0.784)
1971: (0.415, 0.784)
1972: (0.413, 0.784)
1973: (0.411, 0.784)
1974: (0.409, 0.784)
1975: (0.407, 0.784)
1976: (0.405, 0.782)
1977: (0.405, 0.780)
1978: (0.405, 0.778)
1979: (0.405, 0.776)
1980: (0.405, 0.774)
1981: (0.405, 0.772)
1982: (0.405, 0.771)
1983: (0.405, 0.769)
1984: (0.405, 0.767)
1985: (0.405, 0.765)
1986: (0.405, 0.763)
1987: (0.405, 0.761)
1988: (0.405, 0.759)
1989: (0.405, 0.758)
1990: (0.406, 0.757)
1991: (0.407, 0.756)
1992: (0.409, 0.756)
1993: (0.411, 0.756)
1994: (0.413, 0.756)
1995: (0.415, 0.756)
1996: (0.417, 0.756)
1997: (0.419, 0.756)
1998: (0.421, 0.756)
1999: (0.423, 0.756)
2000: (0.425, 0.756)
2001: (0.427, 0.756)
2002: (0.429, 0.756)
2003: (0.431, 0.756)
2004: (0.432, 0.755)
2005: (0.432, 0.753)
2006: (0.432, 0.751)
2007: (0.432, 0.749)
2008: (0.432, 0.747)
2009: (0.432, 0.745)
2010: (0.432, 0.743)
2011: (0.432, 0.741)
2012: (0.432, 0.739)
2013: (0.432, 0.737)
2014: (0.432, 0.735)
2015: (0.432, 0.733)
2016: (0.432, 0.731)
2017: (0.432, 0.729)
2018: (0.432, 0.728)
2019: (0.432, 0.726)
2020: (0.432, 0.724)
2021: (0.432, 0.722)
2022: (0.432, 0.720)
2023: (0.432, 0.718)
2024: (0.432, 0.716)
2025: (0.432, 0.714)
2026: (0.432, 0.712)
2027: (0.432, 0.710)
2028: (0.432, 0.708)
2029: (0.432, 0.706)
2030: (0.432, 0.704)
2031: (0.432, 0.702)
2032: (0.432, 0.700)
2033: (0.432, 0.698)
2034: (0.432, 0.696)
2035: (0.432, 0.694)
2036: (0.432, 0.692)
2037: (0.432, 0.690)
2038: (0.432, 0.688)
2039: (0.432, 0.687)
2040: (0.432, 0.685)
2041: (0.432, 0.683)
2042: (0.432, 0.681)
2043: (0.432, 0.679)
2044: (0.432, 0.677)
2045: (0.433, 0.676)
2046: (0.435, 0.675)
2047: (0.437, 0.675)
2048: (0.438, 0.675)
2049: (0.440, 0.675)
2050: (0.442, 0.675)
2051: (0.444, 0.675)
2052: (0.446, 0.675)
2053: (0.448, 0.675)
2054: (0.450, 0.675)
2055: (0.452, 0.675)
2056: (0.454, 0.675)
2057: (0.456, 0.675)
2058: (0.458, 0.675)
2059: (0.459, 0.675)
2060: (0.459, 0.673)
2061: (0.459, 0.671)
2062: (0.459, 0.669)
2063: (0.459, 0.667)
2064: (0.459, 0.665)
2065: (0.459, 0.663)
2066: (0.459, 0.661)
2067: (0.459, 0.659)
2068: (0.459, 0.657)
2069: (0.459, 0.655)
2070: (0.459, 0.653)
2071: (0.459, 0.651)
2072: (0.459, 0.649)
2073: (0.458, 0.649)
2074: (0.456, 0.648)
2075: (0.454, 0.648)
2076: (0.452, 0.648)
2077: (0.450, 0.648)
2078: (0.448, 0.648)
2079: (0.446, 0.648)
2080: (0.444, 0.648)
2081: (0.442, 0.648)
2082: (0.440, 0.648)
2083: (0.438, 0.648)
2084: (0.437, 0.648)
2085: (0.435, 0.648)
2086: (0.433, 0.648)
2087: (0.432, 0.647)
2088: (0.432, 0.646)
2089: (0.432, 0.644)
2090: (0.432, 0.642)
2091: (0.432, 0.640)
2092: (0.432, 0.638)
2093: (0.432, 0.636)
2094: (0.432, 0.634)
2095: (0.432, 0.632)
2096: (0.432, 0.630)
2097: (0.432, 0.628)
2098: (0.432, 0.626)
2099: (0.432, 0.624)
2100: (0.433, 0.622)
2101: (0.435, 0.621)
2102: (0.437, 0.621)
2103: (0.438, 0.621)
2104: (0.440, 0.621)
2105: (0.442, 0.621)
2106: (0.444, 0.621)
2107: (0.446, 0.621)
2108: (0.448, 0.621)
2109: (0.450, 0.621)
2110: (0.452, 0.621)
2111: (0.454, 0.621)
2112: (0.456, 0.621)
2113: (0.458, 0.621)
2114: (0.459, 0.622)
2115: (0.460, 0.624)
2116: (0.460, 0.626)
2117: (0.460, 0.628)
2118: (0.460, 0.630)
2119: (0.460, 0.632)
2120: (0.460, 0.634)
2121: (0.460, 0.636)
2122: (0.460, 0.638)
2123: (0.460, 0.640)
2124: (0.460, 0.642)
2125: (0.460, 0.644)
2126: (0.460, 0.646)
2127: (0.460, 0.647)
2128: (0.460, 0.648)
2129: (0.462, 0.648)
2130: (0.464, 0.648)
2131: (0.466, 0.648)
2132: (0.468, 0.648)
2133: (0.470, 0.648)
2134: (0.472, 0.648)
2135: (0.474, 0.648)
2136: (0.476, 0.648)
2137: (0.478, 0.648)
2138: (0.479, 0.648)
2139: (0.481, 0.648)
2140: (0.483, 0.648)
2141: (0.485, 0.648)
2142: (0.486, 0.647)
2143: (0.486, 0.646)
2144: (0.486, 0.644)
2145: (0.486, 0.642)
2146: (0.486, 0.640)
2147: (0.486, 0.638)
2148: (0.486, 0.636)
2149: (0.486, 0.634)
2150: (0.486, 0.632)
2151: (0.486, 0.630)
2152: (0.486, 0.628)
2153: (0.486, 0.626)
2154: (0.486, 0.624)
2155: (0.486, 0.622)
2156: (0.487, 0.621)
2157: (0.489, 0.621)
2158: (0.491, 0.621)
2159: (0.493, 0.621)
2160: (0.495, 0.621)
2161: (0.497, 0.621)
2162: (0.499, 0.621)
2163: (0.501, 0.621)
2164: (0.503, 0.621)
2165: (0.505, 0.621)
2166: (0.507, 0.621)
2167: (0.509, 0.621)
2168: (0.511, 0.621)
2169: (0.513, 0.621)
2170: (0.514, 0.622)
2171: (0.514, 0.624)
2172: (0.514, 0.626)
2173: (0.514, 0.628)
2174: (0.514, 0.630)
2175: (0.514, 0.632)
2176: (0.514, 0.634)
2177: (0.514, 0.636)
2178: (0.514, 0.638)
2179: (0.514, 0.640)
2180: (0.514, 0.642)
2181: (0.514, 0.644)
2182: (0.514, 0.646)
2183: (0.514, 0.647)
2184: (0.514, 0.649)
2185: (0.514, 0.651)
2186: (0.514, 0.653)
2187: (0.514, 0.655)
2188: (0.514, 0.657)
2189: (0.514, 0.659)
2190: (0.514, 0.661)
2191: (0.514, 0.663)
2192: (0.514, 0.665)
2193: (0.514, 0.667)
2194: (0.514, 0.669)
2195: (0.514, 0.671)
2196: (0.514, 0.673)
2197: (0.514, 0.675)
2198: (0.517, 0.675)
2199: (0.519, 0.675)
2200: (0.521, 0.675)
2201: (0.522, 0.675)
2202: (0.524, 0.675)
2203: (0.526, 0.675)
2204: (0.528, 0.675)
2205: (0.530, 0.675)
2206: (0.532, 0.675)
2207: (0.534, 0.675)
2208: (0.536, 0.675)
2209: (0.538, 0.675)
2210: (0.540, 0.675)
2211: (0.540, 0.673)
2212: (0.540, 0.671)
2213: (0.540, 0.669)
2214: (0.540, 0.667)
2215: (0.540, 0.665)
2216: (0.540, 0.663)
2217: (0.540, 0.661)
2218: (0.540, 0.659)
2219: (0.540, 0.657)
2220: (0.540, 0.655)
2221: (0.540, 0.653)
2222: (0.540, 0.651)
2223: (0.541, 0.649)
2224: (0.542, 0.648)
2225: (0.544, 0.648)
2226: (0.546, 0.648)
2227: (0.548, 0.648)
2228: (0.550, 0.648)
2229: (0.552, 0.648)
2230: (0.554, 0.648)
2231: (0.556, 0.648)
2232: (0.558, 0.648)
2233: (0.560, 0.648)
2234: (0.562, 0.648)
2235: (0.563, 0.648)
2236: (0.565, 0.648)
2237: (0.567, 0.647)
2238: (0.567, 0.646)
2239: (0.567, 0.644)
2240: (0.567, 0.642)
2241: (0.567, 0.640)
2242: (0.567, 0.638)
2243: (0.567, 0.636)
2244: (0.567, 0.634)
2245: (0.567, 0.632)
2246: (0.567, 0.630)
2247: (0.567, 0.628)
2248: (0.567, 0.626)
2249: (0.567, 0.624)
2250: (0.566, 0.622)
2251: (0.563, 0.622)
2252: (0.562, 0.622)
2253: (0.560, 0.622)
2254: (0.558, 0.622)
2255: (0.556, 0.622)
2256: (0.554, 0.622)
2257: (0.552, 0.622)
2258: (0.550, 0.622)
2259: (0.548, 0.622)
2260: (0.546, 0.622)
2261: (0.544, 0.622)
2262: (0.542, 0.622)
2263: (0.541, 0.620)
2264: (0.540, 0.618)
2265: (0.540, 0.616)
2266: (0.540, 0.614)
2267: (0.540, 0.612)
2268: (0.540, 0.610)
2269: (0.540, 0.608)
2270: (0.540, 0.606)
2271: (0.540, 0.604)
2272: (0.540, 0.603)
2273: (0.540, 0.601)
2274: (0.540, 0.599)
2275: (0.541, 0.597)
2276: (0.540, 0.596)
2277: (0.538, 0.595)
2278: (0.536, 0.595)
2279: (0.534, 0.595)
2280: (0.532, 0.595)
2281: (0.530, 0.595)
2282: (0.528, 0.595)
2283: (0.526, 0.595)
2284: (0.524, 0.595)
2285: (0.522, 0.595)
2286: (0.521, 0.595)
2287: (0.519, 0.595)
2288: (0.517, 0.595)
2289: (0.515, 0.595)
2290: (0.513, 0.593)
2291: (0.513, 0.591)
2292: (0.513, 0.589)
2293: (0.513, 0.587)
2294: (0.513, 0.585)
2295: (0.513, 0.583)
2296: (0.513, 0.581)
2297: (0.513, 0.579)
2298: (0.513, 0.577)
2299: (0.513, 0.575)
2300: (0.513, 0.573)
2301: (0.513, 0.571)
2302: (0.513, 0.569)
2303: (0.514, 0.567)
2304: (0.517, 0.567)
2305: (0.519, 0.567)
2306: (0.521, 0.567)
2307: (0.522, 0.567)
2308: (0.524, 0.567)
2309: (0.526, 0.567)
2310: (0.528, 0.567)
2311: (0.530, 0.567)
2312: (0.532, 0.567)
2313: (0.534, 0.567)
2314: (0.536, 0.567)
2315: (0.538, 0.567)
2316: (0.540, 0.566)
2317: (0.540, 0.565)
2318: (0.540, 0.563)
2319: (0.540, 0.562)
2320: (0.540, 0.560)
2321: (0.540, 0.558)
2322: (0.540, 0.556)
2323: (0.540, 0.554)
2324: (0.540, 0.552)
2325: (0.540, 0.550)
2326: (0.540, 0.548)
2327: (0.540, 0.546)
2328: (0.540, 0.544)
2329: (0.540, 0.542)
2330: (0.540, 0.540)
2331: (0.540, 0.538)
2332: (0.540, 0.536)
2333: (0.540, 0.534)
2334: (0.540, 0.532)
2335: (0.540, 0.530)
2336: (0.540, 0.528)
2337: (0.540, 0.526)
2338: (0.540, 0.524)
2339: (0.540, 0.522)
2340: (0.540, 0.521)
2341: (0.540, 0.519)
2342: (0.540, 0.517)
2343: (0.541, 0.515)
2344: (0.542, 0.513)
2345: (0.544, 0.513)
2346: (0.546, 0.513)
2347: (0.548, 0.513)
2348: (0.550, 0.513)
2349: (0.552, 0.513)
2350: (0.554, 0.513)
2351: (0.556, 0.513)
2352: (0.558, 0.513)
2353: (0.560, 0.513)
2354: (0.562, 0.513)
2355: (0.563, 0.513)
2356: (0.565, 0.513)
2357: (0.566, 0.513)
2358: (0.567, 0.511)
2359: (0.567, 0.509)
2360: (0.567, 0.507)
2361: (0.567, 0.505)
2362: (0.567, 0.503)
2363: (0.567, 0.501)
2364: (0.567, 0.499)
2365: (0.567, 0.497)
2366: (0.567, 0.495)
2367: (0.567, 0.493)
2368: (0.567, 0.491)
2369: (0.567, 0.489)
2370: (0.567, 0.488)
2371: (0.569, 0.486)
2372: (0.571, 0.486)
2373: (0.573, 0.486)
2374: (0.575, 0.486)
2375: (0.577, 0.486)
2376: (0.579, 0.486)
2377: (0.581, 0.486)
2378: (0.583, 0.486)
2379: (0.585, 0.486)
2380: (0.587, 0.486)
2381: (0.589, 0.486)
2382: (0.591, 0.486)
2383: (0.593, 0.486)
2384: (0.594, 0.485)
2385: (0.594, 0.483)
2386: (0.594, 0.481)
2387: (0.594, 0.479)
2388: (0.594, 0.478)
2389: (0.594, 0.476)
2390: (0.594, 0.474)
2391: (0.594, 0.472)
2392: (0.594, 0.470)
2393: (0.594, 0.468)
2394: (0.594, 0.466)
2395: (0.594, 0.464)
2396: (0.594, 0.462)
2397: (0.593, 0.460)
2398: (0.593, 0.459)
2399: (0.591, 0.460)
2400: (0.589, 0.460)
2401: (0.587, 0.460)
2402: (0.585, 0.460)
2403: (0.583, 0.460)
2404: (0.581, 0.460)
2405: (0.579, 0.460)
2406: (0.577, 0.460)
2407: (0.575, 0.460)
2408: (0.573, 0.460)
2409: (0.571, 0.460)
2410: (0.569, 0.460)
2411: (0.567, 0.460)
2412: (0.565, 0.460)
2413: (0.563, 0.460)
2414: (0.562, 0.460)
2415: (0.560, 0.460)
2416: (0.558, 0.460)
2417: (0.556, 0.460)
2418: (0.554, 0.460)
2419: (0.552, 0.460)
2420: (0.550, 0.460)
2421: (0.548, 0.460)
2422: (0.546, 0.460)
2423: (0.544, 0.460)
2424: (0.542, 0.460)
2425: (0.540, 0.460)
2426: (0.538, 0.460)
2427: (0.536, 0.460)
2428: (0.534, 0.460)
2429: (0.532, 0.460)
2430: (0.530, 0.460)
2431: (0.528, 0.460)
2432: (0.526, 0.460)
2433: (0.524, 0.460)
2434: (0.522, 0.460)
2435: (0.521, 0.460)
2436: (0.519, 0.460)
2437: (0.517, 0.460)
2438: (0.515, 0.460)
2439: (0.514, 0.462)
2440: (0.514, 0.464)
2441: (0.514, 0.466)
2442: (0.514, 0.468)
2443: (0.514, 0.470)
2444: (0.514, 0.472)
2445: (0.514, 0.474)
2446: (0.514, 0.476)
2447: (0.514, 0.478)
2448: (0.514, 0.479)
2449: (0.514, 0.481)
2450: (0.514, 0.483)
2451: (0.514, 0.485)
2452: (0.513, 0.487)
2453: (0.511, 0.487)
2454: (0.509, 0.487)
2455: (0.507, 0.487)
2456: (0.505, 0.487)
2457: (0.503, 0.487)
2458: (0.501, 0.487)
2459: (0.499, 0.487)
2460: (0.497, 0.487)
2461: (0.495, 0.487)
2462: (0.493, 0.487)
2463: (0.491, 0.487)
2464: (0.489, 0.487)
2465: (0.487, 0.487)
2466: (0.487, 0.489)
2467: (0.487, 0.491)
2468: (0.487, 0.493)
2469: (0.487, 0.495)
2470: (0.487, 0.497)
2471: (0.487, 0.499)
2472: (0.487, 0.501)
2473: (0.487, 0.503)
2474: (0.487, 0.505)
2475: (0.487, 0.507)
2476: (0.487, 0.509)
2477: (0.487, 0.511)
2478: (0.487, 0.513)
2479: (0.489, 0.513)
2480: (0.491, 0.513)
2481: (0.493, 0.513)
2482: (0.495, 0.513)
2483: (0.497, 0.513)
2484: (0.499, 0.513)
2485: (0.501, 0.513)
2486: (0.503, 0.513)
2487: (0.505, 0.513)
2488: (0.507, 0.513)
2489: (0.509, 0.513)
2490: (0.511, 0.513)
2491: (0.513, 0.513)
2492: (0.514, 0.515)
2493: (0.514, 0.517)
2494: (0.514, 0.519)
2495: (0.514, 0.521)
2496: (0.514, 0.522)
2497: (0.514, 0.524)
2498: (0.514, 0.526)
2499: (0.514, 0.528)
2500: (0.514, 0.530)
2501: (0.514, 0.532)
2502: (0.514, 0.534)
2503: (0.514, 0.536)
2504: (0.514, 0.538)
2505: (0.514, 0.540)
2506: (0.513, 0.541)
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5890: (0.729, 0.126)
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5892: (0.729, 0.122)
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5894: (0.729, 0.118)
5895: (0.729, 0.116)
5896: (0.729, 0.114)
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5898: (0.729, 0.110)
5899: (0.729, 0.110)
5900: (0.730, 0.108)
5901: (0.731, 0.107)
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5903: (0.735, 0.107)
5904: (0.737, 0.107)
5905: (0.739, 0.107)
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5925: (0.778, 0.107)
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5931: (0.790, 0.107)
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5935: (0.798, 0.107)
5936: (0.800, 0.107)
5937: (0.802, 0.107)
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5941: (0.810, 0.107)
⊟Feature print (embedding)768-D · float
Fixed-length descriptor (image embedding). Used for similarity / dedup via cosine distance. Sparkline shows the first 64 of 768 dimensions.
first 8 values: -0.002,-0.008,0.039,0.056,0.033,0.023,0.031,0.001
{} Raw JSON 14 capability runs · on-device
Every Vision pass auge ran on this image. Click a file to see the full, un-truncated output (vector embeddings, full landmark points, every contour point — exactly what auge produced):
Wikimedia source
Pillars of Creation - Hubble, 2014
attention 1 · 63%
classify 2014 Public Domain (NASA / ESA)

Pillars of Creation - Hubble, 2014

Three columns of cold gas and dust in the Eagle Nebula, 6,500 light-years from Earth. Hubble first imaged them in 1995; this is the 2014 reshoot at higher resolution. Vision classifies 'astronomy / nebula / sky'.

$ auge --all pillars-of-creation.jpg
A OCR no text
No text detected in this image.
# Classify 10 labels
animal
21%
fish
21%
seahorse
21%
liquid
13%
water
13%
underwater
13%
outdoor
9%
sky
9%
night_sky
9%
fire
9%
▦ Barcodes none
No barcodes or QR codes detected.
☻ Faces 0 detected
No faces detected.
⨯Face landmarks0 faces
No faces detected, so no landmarks.
⌒Animals (cat/dog)0 detected
No cats or dogs detected by VNRecognizeAnimalsRequest. (The recognizer is conservative — paintings, distant or partial subjects often score below threshold.)
🐾Animal pose0 animals
No animal body poses detected.
⩎Body pose0 bodies
No human body poses detected.
✋Hand pose0 hands
No hands detected.
★Aesthetics0.626
memorable
overallScore range −1.00 utility → +1.00 memorable · 81.3% along scale
●Lens smudge0.44%
clean lens
confidence 0.0044403076171875 · 0% clean · 100% smudged
◉Saliency · attention1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 62.6% confidence — bbox=(0.078, 0.061, 0.920, 0.874)
◉Saliency · objectness1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 64.6% confidence — bbox=(0.231, 0.196, 0.511, 0.520)
▱Quadrilaterals0 detected
No four-cornered shapes found.
▭Text regions0 detected
No text regions detected by the cheap probe.
⏤Horizonno horizon
No horizon line detected (no clear sky/ground separation).
∿Contours128 total · 1 top-level
Vector edge contours of detected shapes. 1 path drawn on the image above (sampled from top-level).
path 1 — 2006 points —
1: (1.000, 0.001) 2: (1.000, 0.003) 3: (1.000, 0.005) 4: (1.000, 0.007) 5: (1.000, 0.009) 6: (1.000, 0.011) 7: (1.000, 0.013) 8: (1.000, 0.015) 9: (1.000, 0.017) 10: (1.000, 0.019) 11: (1.000, 0.021) 12: (1.000, 0.022) 13: (1.000, 0.024) 14: (1.000, 0.026) 15: (1.000, 0.028) 16: (1.000, 0.030) 17: (1.000, 0.032) 18: (1.000, 0.034) 19: (1.000, 0.036) 20: (1.000, 0.038)
show all 1986 more points
21: (1.000, 0.040)
22: (1.000, 0.042)
23: (1.000, 0.044)
24: (1.000, 0.046)
25: (1.000, 0.048)
26: (1.000, 0.050)
27: (1.000, 0.052)
28: (1.000, 0.054)
29: (1.000, 0.056)
30: (1.000, 0.058)
31: (1.000, 0.060)
32: (1.000, 0.062)
33: (1.000, 0.063)
34: (1.000, 0.065)
35: (1.000, 0.067)
36: (1.000, 0.069)
37: (1.000, 0.071)
38: (1.000, 0.073)
39: (1.000, 0.075)
40: (1.000, 0.077)
41: (1.000, 0.079)
42: (1.000, 0.081)
43: (1.000, 0.083)
44: (1.000, 0.085)
45: (1.000, 0.087)
46: (1.000, 0.089)
47: (1.000, 0.091)
48: (1.000, 0.093)
49: (1.000, 0.095)
50: (1.000, 0.097)
51: (1.000, 0.099)
52: (1.000, 0.101)
53: (1.000, 0.103)
54: (1.000, 0.104)
55: (1.000, 0.106)
56: (1.000, 0.108)
57: (1.000, 0.110)
58: (1.000, 0.112)
59: (1.000, 0.114)
60: (1.000, 0.116)
61: (1.000, 0.118)
62: (1.000, 0.120)
63: (1.000, 0.122)
64: (1.000, 0.124)
65: (1.000, 0.126)
66: (1.000, 0.128)
67: (1.000, 0.130)
68: (1.000, 0.132)
69: (1.000, 0.134)
70: (1.000, 0.136)
71: (1.000, 0.138)
72: (1.000, 0.140)
73: (1.000, 0.142)
74: (1.000, 0.144)
75: (1.000, 0.146)
76: (1.000, 0.147)
77: (1.000, 0.149)
78: (1.000, 0.151)
79: (1.000, 0.153)
80: (1.000, 0.155)
81: (1.000, 0.157)
82: (1.000, 0.159)
83: (1.000, 0.161)
84: (1.000, 0.163)
85: (1.000, 0.165)
86: (1.000, 0.167)
87: (1.000, 0.169)
88: (1.000, 0.171)
89: (1.000, 0.173)
90: (1.000, 0.175)
91: (1.000, 0.177)
92: (1.000, 0.179)
93: (1.000, 0.181)
94: (1.000, 0.183)
95: (1.000, 0.185)
96: (1.000, 0.187)
97: (1.000, 0.188)
98: (1.000, 0.190)
99: (1.000, 0.192)
100: (1.000, 0.194)
101: (1.000, 0.196)
102: (1.000, 0.198)
103: (1.000, 0.200)
104: (1.000, 0.202)
105: (1.000, 0.204)
106: (1.000, 0.206)
107: (1.000, 0.208)
108: (1.000, 0.210)
109: (1.000, 0.212)
110: (1.000, 0.214)
111: (1.000, 0.216)
112: (1.000, 0.218)
113: (1.000, 0.220)
114: (1.000, 0.222)
115: (1.000, 0.224)
116: (1.000, 0.226)
117: (1.000, 0.228)
118: (1.000, 0.229)
119: (1.000, 0.231)
120: (1.000, 0.233)
121: (1.000, 0.235)
122: (1.000, 0.237)
123: (1.000, 0.239)
124: (1.000, 0.241)
125: (1.000, 0.243)
126: (1.000, 0.245)
127: (1.000, 0.247)
128: (1.000, 0.249)
129: (1.000, 0.251)
130: (1.000, 0.253)
131: (1.000, 0.255)
132: (1.000, 0.257)
133: (1.000, 0.259)
134: (1.000, 0.261)
135: (1.000, 0.263)
136: (1.000, 0.265)
137: (1.000, 0.267)
138: (1.000, 0.269)
139: (1.000, 0.271)
140: (1.000, 0.272)
141: (1.000, 0.274)
142: (1.000, 0.276)
143: (1.000, 0.278)
144: (1.000, 0.280)
145: (1.000, 0.282)
146: (1.000, 0.284)
147: (1.000, 0.286)
148: (1.000, 0.288)
149: (1.000, 0.290)
150: (1.000, 0.292)
151: (1.000, 0.294)
152: (1.000, 0.296)
153: (1.000, 0.298)
154: (1.000, 0.300)
155: (1.000, 0.302)
156: (1.000, 0.304)
157: (1.000, 0.306)
158: (1.000, 0.308)
159: (1.000, 0.310)
160: (1.000, 0.312)
161: (1.000, 0.313)
162: (1.000, 0.315)
163: (1.000, 0.317)
164: (1.000, 0.319)
165: (1.000, 0.321)
166: (1.000, 0.323)
167: (1.000, 0.325)
168: (1.000, 0.327)
169: (1.000, 0.329)
170: (1.000, 0.331)
171: (1.000, 0.333)
172: (1.000, 0.335)
173: (1.000, 0.337)
174: (1.000, 0.339)
175: (1.000, 0.341)
176: (1.000, 0.343)
177: (1.000, 0.345)
178: (1.000, 0.347)
179: (1.000, 0.349)
180: (1.000, 0.351)
181: (1.000, 0.353)
182: (1.000, 0.354)
183: (1.000, 0.356)
184: (1.000, 0.358)
185: (1.000, 0.360)
186: (1.000, 0.362)
187: (1.000, 0.364)
188: (1.000, 0.366)
189: (1.000, 0.368)
190: (1.000, 0.370)
191: (1.000, 0.372)
192: (1.000, 0.374)
193: (1.000, 0.376)
194: (1.000, 0.378)
195: (1.000, 0.380)
196: (1.000, 0.382)
197: (1.000, 0.384)
198: (1.000, 0.386)
199: (1.000, 0.388)
200: (1.000, 0.390)
201: (1.000, 0.392)
202: (1.000, 0.394)
203: (1.000, 0.396)
204: (1.000, 0.397)
205: (1.000, 0.399)
206: (1.000, 0.401)
207: (1.000, 0.403)
208: (1.000, 0.405)
209: (1.000, 0.407)
210: (1.000, 0.409)
211: (1.000, 0.411)
212: (1.000, 0.413)
213: (1.000, 0.415)
214: (1.000, 0.417)
215: (1.000, 0.419)
216: (1.000, 0.421)
217: (1.000, 0.423)
218: (1.000, 0.425)
219: (1.000, 0.427)
220: (1.000, 0.429)
221: (1.000, 0.431)
222: (1.000, 0.433)
223: (1.000, 0.435)
224: (1.000, 0.437)
225: (1.000, 0.438)
226: (1.000, 0.440)
227: (1.000, 0.442)
228: (1.000, 0.444)
229: (1.000, 0.446)
230: (1.000, 0.448)
231: (1.000, 0.450)
232: (1.000, 0.452)
233: (1.000, 0.454)
234: (1.000, 0.456)
235: (1.000, 0.458)
236: (1.000, 0.460)
237: (1.000, 0.462)
238: (1.000, 0.464)
239: (1.000, 0.466)
240: (1.000, 0.468)
241: (1.000, 0.470)
242: (1.000, 0.472)
243: (1.000, 0.474)
244: (1.000, 0.476)
245: (1.000, 0.478)
246: (1.000, 0.479)
247: (1.000, 0.481)
248: (1.000, 0.483)
249: (1.000, 0.485)
250: (1.000, 0.487)
251: (1.000, 0.489)
252: (1.000, 0.491)
253: (1.000, 0.493)
254: (1.000, 0.495)
255: (1.000, 0.497)
256: (1.000, 0.499)
257: (1.000, 0.501)
258: (1.000, 0.503)
259: (1.000, 0.505)
260: (1.000, 0.507)
261: (1.000, 0.509)
262: (1.000, 0.511)
263: (1.000, 0.513)
264: (1.000, 0.515)
265: (1.000, 0.517)
266: (1.000, 0.519)
267: (1.000, 0.521)
268: (1.000, 0.522)
269: (1.000, 0.524)
270: (1.000, 0.526)
271: (1.000, 0.528)
272: (1.000, 0.530)
273: (1.000, 0.532)
274: (1.000, 0.534)
275: (1.000, 0.536)
276: (1.000, 0.538)
277: (1.000, 0.540)
278: (1.000, 0.542)
279: (1.000, 0.544)
280: (1.000, 0.546)
281: (1.000, 0.548)
282: (1.000, 0.550)
283: (1.000, 0.552)
284: (1.000, 0.554)
285: (1.000, 0.556)
286: (1.000, 0.558)
287: (1.000, 0.560)
288: (1.000, 0.562)
289: (1.000, 0.563)
290: (1.000, 0.565)
291: (1.000, 0.567)
292: (1.000, 0.569)
293: (1.000, 0.571)
294: (1.000, 0.573)
295: (1.000, 0.575)
296: (1.000, 0.577)
297: (1.000, 0.579)
298: (1.000, 0.581)
299: (1.000, 0.583)
300: (1.000, 0.585)
301: (1.000, 0.587)
302: (1.000, 0.589)
303: (1.000, 0.591)
304: (1.000, 0.593)
305: (1.000, 0.595)
306: (1.000, 0.597)
307: (1.000, 0.599)
308: (1.000, 0.601)
309: (1.000, 0.603)
310: (1.000, 0.604)
311: (1.000, 0.606)
312: (1.000, 0.608)
313: (1.000, 0.610)
314: (1.000, 0.612)
315: (1.000, 0.614)
316: (1.000, 0.616)
317: (1.000, 0.618)
318: (1.000, 0.620)
319: (1.000, 0.622)
320: (1.000, 0.624)
321: (1.000, 0.626)
322: (1.000, 0.628)
323: (1.000, 0.630)
324: (1.000, 0.632)
325: (1.000, 0.634)
326: (1.000, 0.636)
327: (1.000, 0.638)
328: (1.000, 0.640)
329: (1.000, 0.642)
330: (1.000, 0.644)
331: (1.000, 0.646)
332: (1.000, 0.647)
333: (1.000, 0.649)
334: (1.000, 0.651)
335: (1.000, 0.653)
336: (1.000, 0.655)
337: (1.000, 0.657)
338: (1.000, 0.659)
339: (1.000, 0.661)
340: (1.000, 0.663)
341: (1.000, 0.665)
342: (1.000, 0.667)
343: (1.000, 0.669)
344: (1.000, 0.671)
345: (1.000, 0.673)
346: (1.000, 0.675)
347: (1.000, 0.677)
348: (1.000, 0.679)
349: (1.000, 0.681)
350: (1.000, 0.683)
351: (1.000, 0.685)
352: (1.000, 0.687)
353: (1.000, 0.688)
354: (1.000, 0.690)
355: (1.000, 0.692)
356: (1.000, 0.694)
357: (1.000, 0.696)
358: (1.000, 0.698)
359: (1.000, 0.700)
360: (1.000, 0.702)
361: (1.000, 0.704)
362: (1.000, 0.706)
363: (1.000, 0.708)
364: (1.000, 0.710)
365: (1.000, 0.712)
366: (1.000, 0.714)
367: (1.000, 0.716)
368: (1.000, 0.718)
369: (1.000, 0.720)
370: (1.000, 0.722)
371: (1.000, 0.724)
372: (1.000, 0.726)
373: (1.000, 0.728)
374: (1.000, 0.729)
375: (1.000, 0.731)
376: (1.000, 0.733)
377: (1.000, 0.735)
378: (1.000, 0.737)
379: (1.000, 0.739)
380: (1.000, 0.741)
381: (1.000, 0.743)
382: (1.000, 0.745)
383: (1.000, 0.747)
384: (1.000, 0.749)
385: (1.000, 0.751)
386: (1.000, 0.753)
387: (1.000, 0.755)
388: (1.000, 0.757)
389: (1.000, 0.759)
390: (1.000, 0.761)
391: (1.000, 0.763)
392: (1.000, 0.765)
393: (1.000, 0.767)
394: (1.000, 0.769)
395: (1.000, 0.771)
396: (1.000, 0.772)
397: (1.000, 0.774)
398: (1.000, 0.776)
399: (1.000, 0.778)
400: (1.000, 0.780)
401: (1.000, 0.782)
402: (1.000, 0.784)
403: (1.000, 0.786)
404: (1.000, 0.788)
405: (1.000, 0.790)
406: (1.000, 0.792)
407: (1.000, 0.794)
408: (1.000, 0.796)
409: (1.000, 0.798)
410: (1.000, 0.800)
411: (1.000, 0.802)
412: (1.000, 0.804)
413: (1.000, 0.806)
414: (1.000, 0.808)
415: (1.000, 0.810)
416: (1.000, 0.812)
417: (1.000, 0.813)
418: (1.000, 0.815)
419: (1.000, 0.817)
420: (1.000, 0.819)
421: (1.000, 0.821)
422: (1.000, 0.823)
423: (1.000, 0.825)
424: (1.000, 0.827)
425: (1.000, 0.829)
426: (1.000, 0.831)
427: (1.000, 0.833)
428: (1.000, 0.835)
429: (1.000, 0.837)
430: (1.000, 0.839)
431: (1.000, 0.841)
432: (1.000, 0.843)
433: (1.000, 0.845)
434: (1.000, 0.847)
435: (1.000, 0.849)
436: (1.000, 0.851)
437: (1.000, 0.853)
438: (1.000, 0.854)
439: (1.000, 0.856)
440: (1.000, 0.858)
441: (1.000, 0.860)
442: (1.000, 0.862)
443: (1.000, 0.864)
444: (1.000, 0.866)
445: (1.000, 0.868)
446: (1.000, 0.870)
447: (1.000, 0.872)
448: (1.000, 0.874)
449: (1.000, 0.876)
450: (1.000, 0.878)
451: (1.000, 0.880)
452: (1.000, 0.882)
453: (1.000, 0.884)
454: (1.000, 0.886)
455: (1.000, 0.888)
456: (1.000, 0.890)
457: (1.000, 0.892)
458: (1.000, 0.894)
459: (1.000, 0.896)
460: (1.000, 0.897)
461: (1.000, 0.899)
462: (1.000, 0.901)
463: (1.000, 0.903)
464: (1.000, 0.905)
465: (1.000, 0.907)
466: (1.000, 0.909)
467: (1.000, 0.911)
468: (1.000, 0.913)
469: (1.000, 0.915)
470: (1.000, 0.917)
471: (1.000, 0.919)
472: (1.000, 0.921)
473: (1.000, 0.923)
474: (1.000, 0.925)
475: (1.000, 0.927)
476: (1.000, 0.929)
477: (1.000, 0.931)
478: (1.000, 0.933)
479: (1.000, 0.935)
480: (1.000, 0.937)
481: (1.000, 0.938)
482: (1.000, 0.940)
483: (1.000, 0.942)
484: (1.000, 0.944)
485: (1.000, 0.946)
486: (1.000, 0.948)
487: (1.000, 0.950)
488: (1.000, 0.952)
489: (1.000, 0.954)
490: (1.000, 0.956)
491: (1.000, 0.958)
492: (1.000, 0.960)
493: (1.000, 0.962)
494: (1.000, 0.964)
495: (1.000, 0.966)
496: (1.000, 0.968)
497: (1.000, 0.970)
498: (1.000, 0.972)
499: (1.000, 0.974)
500: (1.000, 0.976)
501: (1.000, 0.978)
502: (1.000, 0.979)
503: (1.000, 0.981)
504: (1.000, 0.983)
505: (1.000, 0.985)
506: (1.000, 0.987)
507: (1.000, 0.989)
508: (1.000, 0.991)
509: (1.000, 0.993)
510: (1.000, 0.995)
511: (1.000, 0.997)
512: (1.000, 0.999)
513: (0.999, 1.000)
514: (0.997, 1.000)
515: (0.995, 1.000)
516: (0.993, 1.000)
517: (0.991, 1.000)
518: (0.989, 1.000)
519: (0.987, 1.000)
520: (0.985, 1.000)
521: (0.983, 1.000)
522: (0.981, 1.000)
523: (0.979, 1.000)
524: (0.977, 1.000)
525: (0.975, 1.000)
526: (0.973, 1.000)
527: (0.970, 1.000)
528: (0.968, 1.000)
529: (0.966, 1.000)
530: (0.964, 1.000)
531: (0.962, 1.000)
532: (0.960, 1.000)
533: (0.958, 1.000)
534: (0.956, 1.000)
535: (0.954, 1.000)
536: (0.952, 1.000)
537: (0.950, 1.000)
538: (0.948, 1.000)
539: (0.946, 1.000)
540: (0.944, 1.000)
541: (0.942, 1.000)
542: (0.940, 1.000)
543: (0.938, 1.000)
544: (0.936, 1.000)
545: (0.934, 1.000)
546: (0.932, 1.000)
547: (0.930, 1.000)
548: (0.928, 1.000)
549: (0.926, 1.000)
550: (0.924, 1.000)
551: (0.922, 1.000)
552: (0.920, 1.000)
553: (0.918, 1.000)
554: (0.915, 1.000)
555: (0.913, 1.000)
556: (0.911, 1.000)
557: (0.909, 1.000)
558: (0.907, 1.000)
559: (0.905, 1.000)
560: (0.903, 1.000)
561: (0.901, 1.000)
562: (0.899, 1.000)
563: (0.897, 1.000)
564: (0.895, 1.000)
565: (0.893, 1.000)
566: (0.891, 1.000)
567: (0.889, 1.000)
568: (0.887, 1.000)
569: (0.885, 1.000)
570: (0.883, 1.000)
571: (0.881, 1.000)
572: (0.879, 1.000)
573: (0.877, 1.000)
574: (0.875, 1.000)
575: (0.873, 1.000)
576: (0.871, 1.000)
577: (0.869, 1.000)
578: (0.867, 1.000)
579: (0.865, 1.000)
580: (0.863, 1.000)
581: (0.860, 1.000)
582: (0.858, 1.000)
583: (0.856, 1.000)
584: (0.854, 1.000)
585: (0.852, 1.000)
586: (0.850, 1.000)
587: (0.848, 1.000)
588: (0.846, 1.000)
589: (0.844, 1.000)
590: (0.842, 1.000)
591: (0.840, 1.000)
592: (0.838, 1.000)
593: (0.836, 1.000)
594: (0.834, 1.000)
595: (0.832, 1.000)
596: (0.830, 1.000)
597: (0.828, 1.000)
598: (0.826, 1.000)
599: (0.824, 1.000)
600: (0.822, 1.000)
601: (0.820, 1.000)
602: (0.818, 1.000)
603: (0.816, 1.000)
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1788: (0.555, 0.000)
1789: (0.557, 0.000)
1790: (0.559, 0.000)
1791: (0.561, 0.000)
1792: (0.563, 0.000)
1793: (0.565, 0.000)
1794: (0.567, 0.000)
1795: (0.569, 0.000)
1796: (0.571, 0.000)
1797: (0.573, 0.000)
1798: (0.575, 0.000)
1799: (0.577, 0.000)
1800: (0.579, 0.000)
1801: (0.581, 0.000)
1802: (0.584, 0.000)
1803: (0.586, 0.000)
1804: (0.588, 0.000)
1805: (0.590, 0.000)
1806: (0.592, 0.000)
1807: (0.594, 0.000)
1808: (0.596, 0.000)
1809: (0.598, 0.000)
1810: (0.600, 0.000)
1811: (0.602, 0.000)
1812: (0.604, 0.000)
1813: (0.606, 0.000)
1814: (0.608, 0.000)
1815: (0.610, 0.000)
1816: (0.612, 0.000)
1817: (0.614, 0.000)
1818: (0.616, 0.000)
1819: (0.618, 0.000)
1820: (0.620, 0.000)
1821: (0.622, 0.000)
1822: (0.624, 0.000)
1823: (0.626, 0.000)
1824: (0.628, 0.000)
1825: (0.630, 0.000)
1826: (0.632, 0.000)
1827: (0.634, 0.000)
1828: (0.636, 0.000)
1829: (0.638, 0.000)
1830: (0.641, 0.000)
1831: (0.643, 0.000)
1832: (0.645, 0.000)
1833: (0.647, 0.000)
1834: (0.649, 0.000)
1835: (0.651, 0.000)
1836: (0.653, 0.000)
1837: (0.655, 0.000)
1838: (0.657, 0.000)
1839: (0.659, 0.000)
1840: (0.661, 0.000)
1841: (0.663, 0.000)
1842: (0.665, 0.000)
1843: (0.667, 0.000)
1844: (0.669, 0.000)
1845: (0.671, 0.000)
1846: (0.673, 0.000)
1847: (0.675, 0.000)
1848: (0.677, 0.000)
1849: (0.679, 0.000)
1850: (0.681, 0.000)
1851: (0.683, 0.000)
1852: (0.685, 0.000)
1853: (0.687, 0.000)
1854: (0.689, 0.000)
1855: (0.691, 0.000)
1856: (0.693, 0.000)
1857: (0.696, 0.000)
1858: (0.698, 0.000)
1859: (0.700, 0.001)
1860: (0.702, 0.000)
1861: (0.704, 0.000)
1862: (0.706, 0.000)
1863: (0.708, 0.000)
1864: (0.710, 0.000)
1865: (0.712, 0.000)
1866: (0.714, 0.000)
1867: (0.716, 0.000)
1868: (0.718, 0.000)
1869: (0.720, 0.000)
1870: (0.722, 0.000)
1871: (0.724, 0.000)
1872: (0.726, 0.000)
1873: (0.728, 0.000)
1874: (0.730, 0.000)
1875: (0.732, 0.000)
1876: (0.734, 0.000)
1877: (0.736, 0.000)
1878: (0.738, 0.000)
1879: (0.740, 0.000)
1880: (0.742, 0.000)
1881: (0.744, 0.000)
1882: (0.746, 0.000)
1883: (0.748, 0.000)
1884: (0.751, 0.000)
1885: (0.753, 0.000)
1886: (0.755, 0.000)
1887: (0.757, 0.000)
1888: (0.759, 0.000)
1889: (0.761, 0.000)
1890: (0.763, 0.000)
1891: (0.765, 0.000)
1892: (0.767, 0.000)
1893: (0.769, 0.000)
1894: (0.771, 0.000)
1895: (0.773, 0.000)
1896: (0.775, 0.000)
1897: (0.777, 0.000)
1898: (0.779, 0.000)
1899: (0.781, 0.000)
1900: (0.783, 0.000)
1901: (0.785, 0.000)
1902: (0.787, 0.000)
1903: (0.789, 0.000)
1904: (0.791, 0.000)
1905: (0.793, 0.000)
1906: (0.795, 0.000)
1907: (0.797, 0.000)
1908: (0.799, 0.000)
1909: (0.801, 0.000)
1910: (0.803, 0.000)
1911: (0.805, 0.000)
1912: (0.808, 0.000)
1913: (0.810, 0.000)
1914: (0.812, 0.000)
1915: (0.814, 0.000)
1916: (0.816, 0.000)
1917: (0.818, 0.000)
1918: (0.820, 0.000)
1919: (0.822, 0.000)
1920: (0.824, 0.000)
1921: (0.826, 0.000)
1922: (0.828, 0.000)
1923: (0.830, 0.000)
1924: (0.832, 0.000)
1925: (0.834, 0.000)
1926: (0.836, 0.000)
1927: (0.838, 0.000)
1928: (0.840, 0.000)
1929: (0.842, 0.000)
1930: (0.844, 0.000)
1931: (0.846, 0.000)
1932: (0.848, 0.000)
1933: (0.850, 0.000)
1934: (0.852, 0.000)
1935: (0.854, 0.000)
1936: (0.856, 0.000)
1937: (0.858, 0.000)
1938: (0.860, 0.000)
1939: (0.863, 0.000)
1940: (0.865, 0.000)
1941: (0.867, 0.000)
1942: (0.869, 0.000)
1943: (0.871, 0.000)
1944: (0.873, 0.000)
1945: (0.875, 0.000)
1946: (0.877, 0.000)
1947: (0.879, 0.000)
1948: (0.881, 0.000)
1949: (0.883, 0.000)
1950: (0.885, 0.000)
1951: (0.887, 0.000)
1952: (0.889, 0.000)
1953: (0.891, 0.000)
1954: (0.893, 0.000)
1955: (0.895, 0.000)
1956: (0.897, 0.000)
1957: (0.899, 0.000)
1958: (0.901, 0.000)
1959: (0.903, 0.000)
1960: (0.905, 0.000)
1961: (0.907, 0.000)
1962: (0.909, 0.000)
1963: (0.911, 0.000)
1964: (0.913, 0.000)
1965: (0.915, 0.000)
1966: (0.918, 0.000)
1967: (0.920, 0.000)
1968: (0.922, 0.000)
1969: (0.924, 0.000)
1970: (0.926, 0.000)
1971: (0.928, 0.000)
1972: (0.930, 0.000)
1973: (0.932, 0.000)
1974: (0.934, 0.000)
1975: (0.936, 0.000)
1976: (0.938, 0.000)
1977: (0.940, 0.000)
1978: (0.942, 0.000)
1979: (0.944, 0.000)
1980: (0.946, 0.000)
1981: (0.948, 0.000)
1982: (0.950, 0.000)
1983: (0.952, 0.000)
1984: (0.954, 0.000)
1985: (0.956, 0.000)
1986: (0.958, 0.000)
1987: (0.960, 0.000)
1988: (0.962, 0.000)
1989: (0.964, 0.000)
1990: (0.966, 0.000)
1991: (0.968, 0.000)
1992: (0.970, 0.000)
1993: (0.973, 0.000)
1994: (0.975, 0.000)
1995: (0.977, 0.000)
1996: (0.979, 0.000)
1997: (0.981, 0.000)
1998: (0.983, 0.000)
1999: (0.985, 0.000)
2000: (0.987, 0.000)
2001: (0.989, 0.000)
2002: (0.991, 0.000)
2003: (0.993, 0.000)
2004: (0.995, 0.000)
2005: (0.997, 0.000)
2006: (0.999, 0.000)
⊟Feature print (embedding)768-D · float
Fixed-length descriptor (image embedding). Used for similarity / dedup via cosine distance. Sparkline shows the first 64 of 768 dimensions.
first 8 values: -0.014,0.02,-0.037,0.011,-0.039,0.027,-0.002,-0.038
{} Raw JSON 14 capability runs · on-device
Every Vision pass auge ran on this image. Click a file to see the full, un-truncated output (vector embeddings, full landmark points, every contour point — exactly what auge produced):
Wikimedia source
Mona Lisa - Leonardo da Vinci, 1503
attention 1 · 53%
face 1
historical 1503 Public Domain (Leonardo died 1519)

Mona Lisa - Leonardo da Vinci, 1503

Probably the most-recognized painting on Earth. auge detects her face and classifies the image - a useful sanity check for what Vision considers a 'painting' vs 'portrait'.

$ auge --all mona-lisa.jpg
A OCR no text
No text detected in this image.
# Classify 10 labels
art
85%
painting
85%
people
44%
adult
44%
clothing
6%
cloak
6%
outdoor
3%
sky
3%
cloudy
3%
illustrations
2%
▦ Barcodes none
No barcodes or QR codes detected.
☻ Faces 1 detected
1 face located. Bounding boxes overlaid on the image above.
face 1: x=0.309 y=0.638 w=0.285 h=0.188
⨯Face landmarks1 face · 76 pts each
Per-face roll / yaw / pitch (head pose) and ~76 anchor points (eyes, brows, nose, lips, jawline, pupils). Points drawn on the image above.
face 1 — bbox=(0.307, 0.638, 0.284, 0.187) — pose not reported
faceContour 17 pts (1.061, 0.746), (1.055, 0.620), (1.043, 0.491), (1.013, 0.366), (0.952, 0.254), (0.860, 0.163), (0.749, 0.096), (0.631, 0.050), (0.502, 0.037), (0.407, 0.072), (0.336, 0.144), (0.275, 0.225), (0.230, 0.316), (0.201, 0.413), (0.182, 0.513), (0.174, 0.616), (0.176, 0.717)
innerLips 6 pts (0.441, 0.285), (0.485, 0.279), (0.548, 0.286), (0.548, 0.287), (0.483, 0.279), (0.439, 0.283)
leftEye 6 pts (0.273, 0.725), (0.316, 0.757), (0.383, 0.744), (0.417, 0.702), (0.372, 0.700), (0.310, 0.701)
leftEyebrow 6 pts (0.176, 0.797), (0.289, 0.836), (0.408, 0.814), (0.404, 0.772), (0.292, 0.789), (0.182, 0.770)
leftPupil 1 pt (0.344, 0.733)
medianLine 10 pts (0.482, 0.712), (0.472, 0.618), (0.461, 0.522), (0.451, 0.429), (0.473, 0.379), (0.484, 0.302), (0.485, 0.279), (0.483, 0.279), (0.484, 0.236), (0.502, 0.037)
nose 8 pts (0.472, 0.618), (0.414, 0.489), (0.403, 0.406), (0.438, 0.393), (0.473, 0.379), (0.523, 0.396), (0.573, 0.407), (0.572, 0.492)
noseCrest 6 pts (0.482, 0.712), (0.472, 0.618), (0.461, 0.522), (0.451, 0.429), (0.416, 0.423), (0.529, 0.432)
outerLips 14 pts (0.398, 0.301), (0.427, 0.307), (0.455, 0.307), (0.484, 0.302), (0.513, 0.307), (0.556, 0.305), (0.600, 0.301), (0.643, 0.296), (0.595, 0.267), (0.541, 0.246), (0.484, 0.236), (0.443, 0.241), (0.403, 0.261), (0.373, 0.291)
rightEye 6 pts (0.775, 0.726), (0.726, 0.757), (0.651, 0.748), (0.610, 0.703), (0.662, 0.701), (0.729, 0.702)
rightEyebrow 6 pts (0.851, 0.799), (0.708, 0.841), (0.561, 0.820), (0.567, 0.773), (0.707, 0.792), (0.846, 0.773)
rightPupil 1 pt (0.706, 0.736)
⌒Animals (cat/dog)0 detected
No cats or dogs detected by VNRecognizeAnimalsRequest. (The recognizer is conservative — paintings, distant or partial subjects often score below threshold.)
🐾Animal pose0 animals
No animal body poses detected.
⩎Body pose1 body
19 named joints per body — head, ears, eyes, neck, shoulders, elbows, wrists, root, hips, knees, ankles. Skeleton drawn on the image above; per-body skeleton + every joint name and (x, y, confidence) below.
person 1 — 19 joints — avg confidence 28.7% (of 11 confident joints: 49.6%)
head 3 joints head_joint (0.433, 0.735) c=0.80 left_ear_joint (0.630, 0.764) c=0.55 right_ear_joint (0.340, 0.758) c=0.20
eyes 2 joints left_eye_joint (0.507, 0.777) c=0.82 right_eye_joint (0.394, 0.776) c=0.80
left leg 3 joints left_foot_joint (0.000, 1.000) c=0.00 left_leg_joint (0.000, 1.000) c=0.00 left_upLeg_joint (0.000, 1.000) c=0.00
left arm 3 joints left_forearm_joint (0.744, 0.181) c=0.21 left_hand_joint (0.000, 1.000) c=0.00 left_shoulder_1_joint (0.781, 0.464) c=0.32
torso 2 joints neck_1_joint (0.522, 0.469) c=0.35 root (0.000, 1.000) c=0.00
right leg 3 joints right_foot_joint (0.000, 1.000) c=0.00 right_leg_joint (0.000, 1.000) c=0.00 right_upLeg_joint (0.000, 1.000) c=0.00
right arm 3 joints right_forearm_joint (0.131, 0.285) c=0.35 right_hand_joint (0.306, 0.230) c=0.68 right_shoulder_1_joint (0.263, 0.473) c=0.38
✋Hand pose2 hands
21 keypoints per hand (wrist + 4 per finger × 5 fingers). Chirality reported per hand. Per-hand skeleton + every joint with full (x, y, confidence) below.
hand 1 — 21 joints — avg confidence 83.0% (of 21 confident joints: 83.0%)
index 4 joints VNHLKIDIP (0.556, 0.158) c=0.85 VNHLKIMCP (0.457, 0.206) c=0.84 VNHLKIPIP (0.525, 0.177) c=0.86 VNHLKITIP (0.577, 0.144) c=0.91
middle 4 joints VNHLKMDIP (0.531, 0.124) c=0.85 VNHLKMMCP (0.428, 0.183) c=0.83 VNHLKMPIP (0.494, 0.146) c=0.86 VNHLKMTIP (0.555, 0.109) c=0.90
pinky 4 joints VNHLKPDIP (0.451, 0.112) c=0.82 VNHLKPMCP (0.371, 0.151) c=0.84 VNHLKPPIP (0.418, 0.122) c=0.86 VNHLKPTIP (0.472, 0.108) c=0.78
ring 4 joints VNHLKRDIP (0.494, 0.112) c=0.84 VNHLKRMCP (0.397, 0.164) c=0.84 VNHLKRPIP (0.459, 0.127) c=0.90 VNHLKRTIP (0.518, 0.105) c=0.88
thumb 4 joints VNHLKTCMC (0.392, 0.232) c=0.69 VNHLKTIP (0.489, 0.207) c=0.81 VNHLKTMP (0.442, 0.223) c=0.73 VNHLKTTIP (0.532, 0.201) c=0.88
wrist 1 joint VNHLKWRI (0.322, 0.225) c=0.67
hand 2 — 21 joints — avg confidence 68.4% (of 21 confident joints: 68.4%)
index 4 joints VNHLKIDIP (0.225, 0.122) c=0.77 VNHLKIMCP (0.297, 0.174) c=0.76 VNHLKIPIP (0.234, 0.153) c=0.83 VNHLKITIP (0.236, 0.103) c=0.78
middle 4 joints VNHLKMDIP (0.252, 0.095) c=0.80 VNHLKMMCP (0.303, 0.161) c=0.71 VNHLKMPIP (0.245, 0.121) c=0.85 VNHLKMTIP (0.265, 0.089) c=0.73
pinky 4 joints VNHLKPDIP (0.277, 0.075) c=0.75 VNHLKPMCP (0.328, 0.125) c=0.74 VNHLKPPIP (0.282, 0.093) c=0.73 VNHLKPTIP (0.283, 0.064) c=0.72
ring 4 joints VNHLKRDIP (0.271, 0.085) c=0.74 VNHLKRMCP (0.316, 0.144) c=0.83 VNHLKRPIP (0.267, 0.101) c=0.73 VNHLKRTIP (0.283, 0.080) c=0.68
thumb 4 joints VNHLKTCMC (0.349, 0.159) c=0.49 VNHLKTIP (0.277, 0.146) c=0.48 VNHLKTMP (0.313, 0.161) c=0.39 VNHLKTTIP (0.256, 0.134) c=0.34
wrist 1 joint VNHLKWRI (0.383, 0.148) c=0.51
★Aesthetics0.452
memorable
overallScore range −1.00 utility → +1.00 memorable · 72.6% along scale
●Lens smudge0.16%
clean lens
confidence 0.0015926361083984375 · 0% clean · 100% smudged
◉Saliency · attention1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 53.4% confidence — bbox=(0.264, 0.451, 0.409, 0.495)
◉Saliency · objectness1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 87.8% confidence — bbox=(0.000, 0.000, 0.946, 0.928)
▱Quadrilaterals1 detected
1 four-cornered shape — paper, screens, signs. Outlined on the image above.
rect 1 — 100.0% confidence — corners tl(0.345,0.925) tr(0.661,0.911) bl(0.294,0.766) br(0.702,0.739)
▭Text regions0 detected
No text regions detected by the cheap probe.
⏤Horizonno horizon
No horizon line detected (no clear sky/ground separation).
∿Contours342 total · 1 top-level
Vector edge contours of detected shapes. 1 path drawn on the image above (sampled from top-level).
path 1 — 1702 points —
1: (1.000, 0.001) 2: (1.000, 0.003) 3: (1.000, 0.005) 4: (1.000, 0.007) 5: (1.000, 0.009) 6: (1.000, 0.011) 7: (1.000, 0.013) 8: (1.000, 0.015) 9: (1.000, 0.017) 10: (1.000, 0.019) 11: (1.000, 0.021) 12: (1.000, 0.022) 13: (1.000, 0.024) 14: (1.000, 0.026) 15: (1.000, 0.028) 16: (1.000, 0.030) 17: (1.000, 0.032) 18: (1.000, 0.034) 19: (1.000, 0.036) 20: (1.000, 0.038)
show all 1682 more points
21: (1.000, 0.040)
22: (1.000, 0.042)
23: (1.000, 0.044)
24: (1.000, 0.046)
25: (1.000, 0.048)
26: (1.000, 0.050)
27: (1.000, 0.052)
28: (1.000, 0.054)
29: (1.000, 0.056)
30: (1.000, 0.058)
31: (1.000, 0.060)
32: (1.000, 0.062)
33: (1.000, 0.063)
34: (1.000, 0.065)
35: (1.000, 0.067)
36: (1.000, 0.069)
37: (1.000, 0.071)
38: (1.000, 0.073)
39: (1.000, 0.075)
40: (1.000, 0.077)
41: (1.000, 0.079)
42: (1.000, 0.081)
43: (1.000, 0.083)
44: (1.000, 0.085)
45: (1.000, 0.087)
46: (1.000, 0.089)
47: (1.000, 0.091)
48: (1.000, 0.093)
49: (1.000, 0.095)
50: (1.000, 0.097)
51: (1.000, 0.099)
52: (1.000, 0.101)
53: (1.000, 0.103)
54: (1.000, 0.104)
55: (1.000, 0.106)
56: (1.000, 0.108)
57: (1.000, 0.110)
58: (1.000, 0.112)
59: (1.000, 0.114)
60: (1.000, 0.116)
61: (1.000, 0.118)
62: (1.000, 0.120)
63: (1.000, 0.122)
64: (1.000, 0.124)
65: (1.000, 0.126)
66: (1.000, 0.128)
67: (1.000, 0.130)
68: (1.000, 0.132)
69: (1.000, 0.134)
70: (1.000, 0.136)
71: (1.000, 0.138)
72: (1.000, 0.140)
73: (1.000, 0.142)
74: (1.000, 0.144)
75: (1.000, 0.146)
76: (1.000, 0.147)
77: (1.000, 0.149)
78: (1.000, 0.151)
79: (1.000, 0.153)
80: (1.000, 0.155)
81: (1.000, 0.157)
82: (1.000, 0.159)
83: (1.000, 0.161)
84: (1.000, 0.163)
85: (1.000, 0.165)
86: (1.000, 0.167)
87: (1.000, 0.169)
88: (1.000, 0.171)
89: (1.000, 0.173)
90: (1.000, 0.175)
91: (1.000, 0.177)
92: (1.000, 0.179)
93: (1.000, 0.181)
94: (1.000, 0.183)
95: (1.000, 0.185)
96: (1.000, 0.187)
97: (1.000, 0.188)
98: (1.000, 0.190)
99: (1.000, 0.192)
100: (1.000, 0.194)
101: (1.000, 0.196)
102: (1.000, 0.198)
103: (1.000, 0.200)
104: (1.000, 0.202)
105: (1.000, 0.204)
106: (1.000, 0.206)
107: (1.000, 0.208)
108: (1.000, 0.210)
109: (1.000, 0.212)
110: (1.000, 0.214)
111: (1.000, 0.216)
112: (1.000, 0.218)
113: (1.000, 0.220)
114: (1.000, 0.222)
115: (1.000, 0.224)
116: (1.000, 0.226)
117: (1.000, 0.228)
118: (1.000, 0.229)
119: (1.000, 0.231)
120: (1.000, 0.233)
121: (1.000, 0.235)
122: (1.000, 0.237)
123: (1.000, 0.239)
124: (1.000, 0.241)
125: (1.000, 0.243)
126: (1.000, 0.245)
127: (1.000, 0.247)
128: (1.000, 0.249)
129: (1.000, 0.251)
130: (1.000, 0.253)
131: (1.000, 0.255)
132: (1.000, 0.257)
133: (1.000, 0.259)
134: (1.000, 0.261)
135: (1.000, 0.263)
136: (1.000, 0.265)
137: (1.000, 0.267)
138: (1.000, 0.269)
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1470: (0.314, 0.000)
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1485: (0.358, 0.000)
1486: (0.361, 0.000)
1487: (0.364, 0.000)
1488: (0.367, 0.000)
1489: (0.370, 0.000)
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1491: (0.376, 0.000)
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1495: (0.388, 0.000)
1496: (0.391, 0.000)
1497: (0.394, 0.000)
1498: (0.397, 0.000)
1499: (0.400, 0.000)
1500: (0.403, 0.000)
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1506: (0.420, 0.000)
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1512: (0.438, 0.000)
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1514: (0.444, 0.000)
1515: (0.447, 0.000)
1516: (0.450, 0.000)
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1520: (0.462, 0.000)
1521: (0.465, 0.000)
1522: (0.468, 0.000)
1523: (0.471, 0.000)
1524: (0.473, 0.000)
1525: (0.476, 0.000)
1526: (0.479, 0.000)
1527: (0.482, 0.000)
1528: (0.485, 0.000)
1529: (0.488, 0.000)
1530: (0.491, 0.000)
1531: (0.494, 0.000)
1532: (0.497, 0.000)
1533: (0.500, 0.000)
1534: (0.503, 0.000)
1535: (0.506, 0.000)
1536: (0.509, 0.000)
1537: (0.512, 0.000)
1538: (0.515, 0.000)
1539: (0.518, 0.000)
1540: (0.521, 0.000)
1541: (0.524, 0.000)
1542: (0.527, 0.000)
1543: (0.529, 0.000)
1544: (0.532, 0.000)
1545: (0.535, 0.000)
1546: (0.538, 0.000)
1547: (0.541, 0.000)
1548: (0.544, 0.000)
1549: (0.547, 0.000)
1550: (0.550, 0.000)
1551: (0.553, 0.000)
1552: (0.556, 0.000)
1553: (0.559, 0.000)
1554: (0.562, 0.000)
1555: (0.565, 0.000)
1556: (0.568, 0.000)
1557: (0.571, 0.000)
1558: (0.574, 0.000)
1559: (0.577, 0.000)
1560: (0.580, 0.000)
1561: (0.583, 0.000)
1562: (0.586, 0.000)
1563: (0.588, 0.000)
1564: (0.591, 0.000)
1565: (0.594, 0.000)
1566: (0.597, 0.000)
1567: (0.600, 0.000)
1568: (0.603, 0.000)
1569: (0.606, 0.000)
1570: (0.609, 0.000)
1571: (0.612, 0.000)
1572: (0.615, 0.000)
1573: (0.618, 0.000)
1574: (0.621, 0.000)
1575: (0.624, 0.000)
1576: (0.627, 0.000)
1577: (0.630, 0.000)
1578: (0.633, 0.000)
1579: (0.636, 0.000)
1580: (0.639, 0.000)
1581: (0.642, 0.000)
1582: (0.645, 0.000)
1583: (0.647, 0.000)
1584: (0.650, 0.000)
1585: (0.653, 0.000)
1586: (0.656, 0.000)
1587: (0.659, 0.000)
1588: (0.662, 0.000)
1589: (0.665, 0.000)
1590: (0.668, 0.000)
1591: (0.671, 0.000)
1592: (0.674, 0.000)
1593: (0.677, 0.000)
1594: (0.680, 0.000)
1595: (0.683, 0.000)
1596: (0.686, 0.000)
1597: (0.689, 0.000)
1598: (0.692, 0.000)
1599: (0.695, 0.000)
1600: (0.698, 0.000)
1601: (0.701, 0.000)
1602: (0.704, 0.000)
1603: (0.706, 0.000)
1604: (0.709, 0.000)
1605: (0.712, 0.000)
1606: (0.715, 0.000)
1607: (0.718, 0.000)
1608: (0.721, 0.000)
1609: (0.724, 0.000)
1610: (0.727, 0.000)
1611: (0.730, 0.000)
1612: (0.733, 0.000)
1613: (0.736, 0.000)
1614: (0.739, 0.000)
1615: (0.742, 0.000)
1616: (0.745, 0.000)
1617: (0.748, 0.000)
1618: (0.751, 0.000)
1619: (0.754, 0.000)
1620: (0.757, 0.000)
1621: (0.760, 0.000)
1622: (0.763, 0.000)
1623: (0.765, 0.000)
1624: (0.768, 0.000)
1625: (0.771, 0.000)
1626: (0.774, 0.000)
1627: (0.777, 0.000)
1628: (0.780, 0.000)
1629: (0.783, 0.000)
1630: (0.786, 0.000)
1631: (0.789, 0.000)
1632: (0.792, 0.000)
1633: (0.795, 0.000)
1634: (0.798, 0.000)
1635: (0.801, 0.000)
1636: (0.804, 0.000)
1637: (0.807, 0.000)
1638: (0.810, 0.000)
1639: (0.813, 0.000)
1640: (0.816, 0.000)
1641: (0.819, 0.000)
1642: (0.822, 0.000)
1643: (0.824, 0.000)
1644: (0.827, 0.000)
1645: (0.830, 0.000)
1646: (0.833, 0.000)
1647: (0.836, 0.000)
1648: (0.839, 0.000)
1649: (0.842, 0.000)
1650: (0.845, 0.000)
1651: (0.848, 0.000)
1652: (0.851, 0.000)
1653: (0.854, 0.000)
1654: (0.857, 0.000)
1655: (0.860, 0.000)
1656: (0.863, 0.000)
1657: (0.866, 0.000)
1658: (0.869, 0.000)
1659: (0.872, 0.000)
1660: (0.875, 0.000)
1661: (0.878, 0.000)
1662: (0.881, 0.000)
1663: (0.883, 0.000)
1664: (0.886, 0.000)
1665: (0.889, 0.000)
1666: (0.892, 0.000)
1667: (0.895, 0.000)
1668: (0.898, 0.000)
1669: (0.901, 0.000)
1670: (0.904, 0.000)
1671: (0.907, 0.000)
1672: (0.910, 0.000)
1673: (0.913, 0.000)
1674: (0.916, 0.000)
1675: (0.919, 0.000)
1676: (0.922, 0.000)
1677: (0.925, 0.000)
1678: (0.928, 0.000)
1679: (0.931, 0.000)
1680: (0.934, 0.000)
1681: (0.937, 0.000)
1682: (0.940, 0.000)
1683: (0.942, 0.000)
1684: (0.945, 0.000)
1685: (0.948, 0.000)
1686: (0.951, 0.000)
1687: (0.954, 0.000)
1688: (0.957, 0.000)
1689: (0.960, 0.000)
1690: (0.963, 0.000)
1691: (0.966, 0.000)
1692: (0.969, 0.000)
1693: (0.972, 0.000)
1694: (0.975, 0.000)
1695: (0.978, 0.000)
1696: (0.981, 0.000)
1697: (0.984, 0.000)
1698: (0.987, 0.000)
1699: (0.990, 0.000)
1700: (0.993, 0.000)
1701: (0.996, 0.000)
1702: (0.999, 0.000)
⊟Feature print (embedding)768-D · float
Fixed-length descriptor (image embedding). Used for similarity / dedup via cosine distance. Sparkline shows the first 64 of 768 dimensions.
first 8 values: 0.009,-0.007,0.086,0.047,-0.027,0.117,0.017,0.01
{} Raw JSON 14 capability runs · on-device
Every Vision pass auge ran on this image. Click a file to see the full, un-truncated output (vector embeddings, full landmark points, every contour point — exactly what auge produced):
Wikimedia source
Domestic cat
attention 1 · 53%
Cat · 76%
classify 2010 CC0

Domestic cat

Point auge at any image. It returns OCR text (none here), the top classification labels with confidence, faces, and barcodes - all in one pass.

$ auge --all --top 8 cat.jpg
A OCR no text
No text detected in this image.
# Classify 8 labels
animal
92%
cat
92%
feline
92%
mammal
92%
adult_cat
92%
frozen
28%
liquid
28%
snow
28%
▦ Barcodes none
No barcodes or QR codes detected.
☻ Faces 0 detected
No faces detected.
⨯Face landmarks0 faces
No faces detected, so no landmarks.
⌒Animals (cat/dog)1 detected
Cat / dog detection with bounding boxes — drawn on the image above.
1. Cat — 76.0% confidence — bbox=(0.223, 0.082, 0.694, 0.754)
🐾Animal pose1 animal
Up to 25 named joints (ears, eyes, nose, neck, elbows, knees, paws, tail). Per-animal skeleton + every joint with full (x, y, confidence) below.
animal 1 — 25 joints — avg confidence 58.1% (of 24 confident joints: 60.5%)
neck/back 1 joint animal_joint_heck (0.397, 0.596) c=0.65
left back 3 joints animal_joint_left_back_elbow (0.724, 0.280) c=0.25 animal_joint_left_back_knee (0.768, 0.098) c=0.32 animal_joint_left_back_paw (0.589, 0.105) c=0.70
head 9 joints animal_joint_left_ear_bottom (0.520, 0.800) c=0.87 animal_joint_left_ear_middle (0.537, 0.834) c=0.90 animal_joint_left_ear_top (0.559, 0.866) c=0.88 animal_joint_left_eye (0.471, 0.727) c=0.91 animal_joint_nose (0.407, 0.670) c=0.92 animal_joint_right_ear_bottom (0.319, 0.806) c=0.88 animal_joint_right_ear_middle (0.303, 0.840) c=0.90 animal_joint_right_ear_top (0.279, 0.870) c=0.88 animal_joint_right_eye (0.353, 0.730) c=0.93
left front 3 joints animal_joint_left_front_elbow (0.528, 0.400) c=0.41 animal_joint_left_front_knee (0.509, 0.221) c=0.46 animal_joint_left_front_paw (0.461, 0.088) c=0.78
right back 3 joints animal_joint_right_back_elbow (0.647, 0.282) c=0.17 animal_joint_right_back_knee (0.665, 0.145) c=0.16 animal_joint_right_back_paw (0.538, 0.120) c=0.32
right front 3 joints animal_joint_right_front_elbow (0.350, 0.374) c=0.44 animal_joint_right_front_knee (0.408, 0.212) c=0.53 animal_joint_right_front_paw (0.387, 0.099) c=0.76
tail 3 joints animal_joint_tail_bottom (0.857, 0.103) c=0.40 animal_joint_tail_middle (0.781, 0.123) c=0.10 animal_joint_tail_top (0.159, 0.885) c=0.00
⩎Body pose0 bodies
No human body poses detected.
✋Hand pose0 hands
No hands detected.
★Aesthetics0.941
memorable
overallScore range −1.00 utility → +1.00 memorable · 97.1% along scale
●Lens smudge0.03%
clean lens
confidence 0.00025081634521484375 · 0% clean · 100% smudged
◉Saliency · attention1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 53.5% confidence — bbox=(0.216, 0.025, 0.483, 0.896)
◉Saliency · objectness1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 80.8% confidence — bbox=(0.226, 0.062, 0.688, 0.814)
▱Quadrilaterals0 detected
No four-cornered shapes found.
▭Text regions0 detected
No text regions detected by the cheap probe.
⏤Horizonno horizon
No horizon line detected (no clear sky/ground separation).
∿Contours505 total · 140 top-level
Vector edge contours of detected shapes. 32 paths drawn on the image above (sampled from top-level).
path 1 — 9 points —
1: (0.001, 0.991) 2: (0.002, 0.993) 3: (0.002, 0.995) 4: (0.002, 0.997) 5: (0.003, 0.999) 6: (0.001, 0.999) 7: (0.001, 0.997) 8: (0.001, 0.995) 9: (0.001, 0.993)
path 2 — 23 points —
1: (0.790, 0.921) 2: (0.792, 0.922) 3: (0.795, 0.923) 4: (0.798, 0.924) 5: (0.798, 0.925) 6: (0.799, 0.927) 7: (0.800, 0.929) 8: (0.801, 0.931) 9: (0.801, 0.933) 10: (0.802, 0.935) 11: (0.800, 0.936) 12: (0.798, 0.936) 13: (0.795, 0.935) 14: (0.794, 0.935) 15: (0.792, 0.933) 16: (0.791, 0.933) 17: (0.790, 0.932) 18: (0.787, 0.931) 19: (0.787, 0.929) 20: (0.786, 0.927)
show all 3 more points
21: (0.785, 0.925)
22: (0.784, 0.923)
23: (0.787, 0.921)
path 3 — 12 points —
1: (0.802, 0.896) 2: (0.803, 0.896) 3: (0.804, 0.897) 4: (0.805, 0.899) 5: (0.808, 0.901) 6: (0.806, 0.903) 7: (0.803, 0.902) 8: (0.800, 0.901) 9: (0.798, 0.900) 10: (0.797, 0.897) 11: (0.799, 0.896) 12: (0.800, 0.895)
path 4 — 25 points —
1: (0.374, 0.944) 2: (0.375, 0.945) 3: (0.377, 0.945) 4: (0.380, 0.946) 5: (0.381, 0.946) 6: (0.383, 0.947) 7: (0.384, 0.948) 8: (0.385, 0.950) 9: (0.386, 0.952) 10: (0.383, 0.953) 11: (0.380, 0.953) 12: (0.377, 0.953) 13: (0.375, 0.953) 14: (0.372, 0.952) 15: (0.369, 0.952) 16: (0.367, 0.951) 17: (0.366, 0.950) 18: (0.364, 0.949) 19: (0.362, 0.948) 20: (0.363, 0.946)
show all 5 more points
21: (0.364, 0.945)
22: (0.367, 0.945)
23: (0.368, 0.944)
24: (0.369, 0.944)
25: (0.372, 0.944)
path 5 — 33 points —
1: (0.533, 0.983) 2: (0.534, 0.984) 3: (0.537, 0.985) 4: (0.539, 0.985) 5: (0.541, 0.987) 6: (0.542, 0.989) 7: (0.540, 0.991) 8: (0.539, 0.992) 9: (0.537, 0.992) 10: (0.534, 0.993) 11: (0.531, 0.994) 12: (0.529, 0.995) 13: (0.526, 0.995) 14: (0.523, 0.994) 15: (0.521, 0.994) 16: (0.518, 0.994) 17: (0.517, 0.993) 18: (0.516, 0.992) 19: (0.513, 0.992) 20: (0.510, 0.991)
show all 13 more points
21: (0.508, 0.990)
22: (0.508, 0.987)
23: (0.510, 0.986)
24: (0.511, 0.985)
25: (0.513, 0.984)
26: (0.514, 0.983)
27: (0.516, 0.983)
28: (0.518, 0.983)
29: (0.521, 0.983)
30: (0.523, 0.983)
31: (0.526, 0.983)
32: (0.529, 0.983)
33: (0.531, 0.983)
path 6 — 91 points —
1: (0.095, 0.948) 2: (0.096, 0.950) 3: (0.097, 0.952) 4: (0.097, 0.954) 5: (0.098, 0.956) 6: (0.101, 0.957) 7: (0.101, 0.958) 8: (0.102, 0.960) 9: (0.102, 0.962) 10: (0.103, 0.963) 11: (0.105, 0.964) 12: (0.106, 0.966) 13: (0.108, 0.968) 14: (0.109, 0.970) 15: (0.110, 0.972) 16: (0.110, 0.974) 17: (0.111, 0.974) 18: (0.112, 0.976) 19: (0.112, 0.978) 20: (0.113, 0.979)
show all 71 more points
21: (0.113, 0.981)
22: (0.114, 0.982)
23: (0.116, 0.981)
24: (0.119, 0.982)
25: (0.120, 0.983)
26: (0.121, 0.984)
27: (0.123, 0.985)
28: (0.124, 0.986)
29: (0.125, 0.987)
30: (0.127, 0.988)
31: (0.128, 0.989)
32: (0.129, 0.990)
33: (0.130, 0.989)
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path 7 — 26 points —
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show all 6 more points
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path 8 — 90 points —
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show all 70 more points
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path 9 — 32 points —
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show all 12 more points
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path 10 — 6 points —
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path 11 — 26 points —
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show all 6 more points
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path 12 — 125 points —
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show all 105 more points
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path 13 — 34 points —
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show all 14 more points
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path 14 — 64 points —
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show all 44 more points
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path 15 — 26 points —
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show all 6 more points
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path 16 — 125 points —
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show all 105 more points
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path 17 — 14 points —
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show all 63 more points
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show all 17 more points
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show all 13 more points
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31: (0.260, 0.620)
32: (0.262, 0.619)
33: (0.265, 0.619)
path 31 — 4 points —
1: (0.282, 0.620) 2: (0.281, 0.621) 3: (0.279, 0.620) 4: (0.281, 0.619)
path 32 — 4 points —
1: (0.299, 0.614) 2: (0.296, 0.615) 3: (0.295, 0.614) 4: (0.296, 0.613)
⊟Feature print (embedding)768-D · float
Fixed-length descriptor (image embedding). Used for similarity / dedup via cosine distance. Sparkline shows the first 64 of 768 dimensions.
first 8 values: -0.001,0.027,-0.003,0.057,-0.006,0.111,-0.013,0.009
{} Raw JSON 14 capability runs · on-device
Every Vision pass auge ran on this image. Click a file to see the full, un-truncated output (vector embeddings, full landmark points, every contour point — exactly what auge produced):
Wikimedia source
The Great Wave off Kanagawa - Hokusai, 1831
attention 1 · 62%
classify 1831 Public Domain

The Great Wave off Kanagawa - Hokusai, 1831

Hokusai's signature woodblock print from his Thirty-six Views of Mount Fuji. The most reproduced Japanese artwork ever made. Classify pulls 'art / painting / wave / sea'.

$ auge --all hokusai-wave.jpg
A OCR no text
No text detected in this image.
# Classify 10 labels
art
69%
illustrations
69%
painting
18%
document
5%
printed_page
5%
material
4%
textile
4%
liquid
3%
water
3%
underwater
3%
▦ Barcodes none
No barcodes or QR codes detected.
☻ Faces 0 detected
No faces detected.
⨯Face landmarks0 faces
No faces detected, so no landmarks.
⌒Animals (cat/dog)0 detected
No cats or dogs detected by VNRecognizeAnimalsRequest. (The recognizer is conservative — paintings, distant or partial subjects often score below threshold.)
🐾Animal pose0 animals
No animal body poses detected.
⩎Body pose0 bodies
No human body poses detected.
✋Hand pose0 hands
No hands detected.
★Aesthetics0.514
memorable
overallScore range −1.00 utility → +1.00 memorable · 75.7% along scale
●Lens smudge0.31%
clean lens
confidence 0.003070831298828125 · 0% clean · 100% smudged
◉Saliency · attention1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 62.0% confidence — bbox=(0.000, 0.117, 0.948, 0.883)
◉Saliency · objectness2 regions
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 80.9% confidence — bbox=(0.000, 0.222, 0.803, 0.673)
region 2 — 41.6% confidence — bbox=(0.560, 0.001, 0.440, 0.396)
▱Quadrilaterals0 detected
No four-cornered shapes found.
▭Text regions4 detected
Lightweight text-region detector (just bounding boxes — no recognition). Boxes drawn on the image above.
region 1 — 100.0% confidence — bbox=(0.074, 0.726, 0.012, 0.021)
region 2 — 100.0% confidence — bbox=(0.230, 0.490, 0.013, 0.014)
region 3 — 100.0% confidence — bbox=(0.314, 0.288, 0.031, 0.042)
region 4 — 100.0% confidence — bbox=(0.298, 0.228, 0.015, 0.019)
⏤Horizonno horizon
No horizon line detected (no clear sky/ground separation).
∿Contours1210 total · 737 top-level
Vector edge contours of detected shapes. 32 paths drawn on the image above (sampled from top-level).
path 1 — 4 points —
1: (0.054, 0.923) 2: (0.054, 0.926) 3: (0.053, 0.923) 4: (0.054, 0.921)
path 2 — 8 points —
1: (0.060, 0.929) 2: (0.060, 0.929) 3: (0.058, 0.930) 4: (0.056, 0.930) 5: (0.055, 0.929) 6: (0.056, 0.928) 7: (0.058, 0.929) 8: (0.060, 0.929)
path 3 — 4 points —
1: (0.054, 0.908) 2: (0.054, 0.911) 3: (0.054, 0.908) 4: (0.054, 0.907)
path 4 — 4 points —
1: (0.072, 0.929) 2: (0.071, 0.929) 3: (0.071, 0.929) 4: (0.071, 0.929)
path 5 — 10 points —
1: (0.082, 0.929) 2: (0.081, 0.929) 3: (0.079, 0.929) 4: (0.077, 0.929) 5: (0.075, 0.929) 6: (0.074, 0.929) 7: (0.075, 0.929) 8: (0.077, 0.929) 9: (0.079, 0.929) 10: (0.081, 0.929)
path 6 — 4 points —
1: (0.086, 0.929) 2: (0.085, 0.931) 3: (0.083, 0.929) 4: (0.085, 0.927)
path 7 — 34 points —
1: (0.072, 0.903) 2: (0.073, 0.905) 3: (0.075, 0.906) 4: (0.076, 0.908) 5: (0.075, 0.910) 6: (0.073, 0.908) 7: (0.073, 0.906) 8: (0.073, 0.908) 9: (0.073, 0.911) 10: (0.073, 0.914) 11: (0.073, 0.917) 12: (0.073, 0.918) 13: (0.075, 0.919) 14: (0.077, 0.920) 15: (0.076, 0.923) 16: (0.074, 0.923) 17: (0.073, 0.923) 18: (0.071, 0.923) 19: (0.069, 0.922) 20: (0.067, 0.922)
show all 14 more points
21: (0.065, 0.923)
22: (0.064, 0.923)
23: (0.063, 0.923)
24: (0.062, 0.920)
25: (0.063, 0.917)
26: (0.065, 0.916)
27: (0.066, 0.914)
28: (0.066, 0.911)
29: (0.064, 0.908)
30: (0.064, 0.906)
31: (0.065, 0.903)
32: (0.067, 0.903)
33: (0.069, 0.903)
34: (0.071, 0.902)
path 8 — 163 points —
1: (0.235, 0.844) 2: (0.237, 0.846) 3: (0.239, 0.847) 4: (0.241, 0.849) 5: (0.243, 0.850) 6: (0.243, 0.851) 7: (0.245, 0.852) 8: (0.246, 0.853) 9: (0.247, 0.854) 10: (0.249, 0.856) 11: (0.251, 0.858) 12: (0.252, 0.859) 13: (0.253, 0.860) 14: (0.254, 0.862) 15: (0.255, 0.863) 16: (0.256, 0.865) 17: (0.257, 0.866) 18: (0.258, 0.868) 19: (0.259, 0.868) 20: (0.261, 0.870)
show all 143 more points
21: (0.261, 0.871)
22: (0.263, 0.872)
23: (0.265, 0.873)
24: (0.267, 0.875)
25: (0.269, 0.876)
26: (0.271, 0.877)
27: (0.272, 0.878)
28: (0.274, 0.879)
29: (0.276, 0.881)
30: (0.278, 0.881)
31: (0.280, 0.882)
32: (0.280, 0.883)
33: (0.282, 0.884)
34: (0.284, 0.884)
35: (0.286, 0.885)
36: (0.288, 0.886)
37: (0.290, 0.887)
38: (0.292, 0.888)
39: (0.294, 0.889)
40: (0.296, 0.891)
41: (0.298, 0.892)
42: (0.299, 0.894)
43: (0.300, 0.894)
44: (0.302, 0.895)
45: (0.304, 0.896)
46: (0.304, 0.897)
47: (0.306, 0.898)
48: (0.308, 0.898)
49: (0.310, 0.898)
50: (0.312, 0.899)
51: (0.313, 0.900)
52: (0.315, 0.901)
53: (0.317, 0.901)
54: (0.319, 0.901)
55: (0.321, 0.901)
56: (0.323, 0.902)
57: (0.325, 0.901)
58: (0.327, 0.901)
59: (0.329, 0.901)
60: (0.331, 0.901)
61: (0.333, 0.901)
62: (0.335, 0.901)
63: (0.337, 0.901)
64: (0.339, 0.901)
65: (0.341, 0.901)
66: (0.343, 0.902)
67: (0.344, 0.903)
68: (0.345, 0.903)
69: (0.347, 0.904)
70: (0.349, 0.904)
71: (0.350, 0.906)
72: (0.351, 0.907)
73: (0.352, 0.908)
74: (0.354, 0.910)
75: (0.356, 0.910)
76: (0.358, 0.911)
77: (0.360, 0.911)
78: (0.362, 0.911)
79: (0.364, 0.911)
80: (0.366, 0.911)
81: (0.368, 0.911)
82: (0.366, 0.912)
83: (0.364, 0.912)
84: (0.362, 0.912)
85: (0.360, 0.912)
86: (0.358, 0.912)
87: (0.356, 0.913)
88: (0.354, 0.913)
89: (0.353, 0.913)
90: (0.351, 0.911)
91: (0.349, 0.910)
92: (0.347, 0.908)
93: (0.347, 0.908)
94: (0.345, 0.907)
95: (0.343, 0.907)
96: (0.341, 0.906)
97: (0.340, 0.906)
98: (0.339, 0.905)
99: (0.337, 0.905)
100: (0.335, 0.905)
101: (0.333, 0.904)
102: (0.331, 0.904)
103: (0.329, 0.904)
104: (0.327, 0.904)
105: (0.325, 0.904)
106: (0.323, 0.903)
107: (0.321, 0.904)
108: (0.319, 0.904)
109: (0.317, 0.904)
110: (0.315, 0.903)
111: (0.313, 0.903)
112: (0.312, 0.903)
113: (0.310, 0.902)
114: (0.308, 0.901)
115: (0.306, 0.901)
116: (0.304, 0.901)
117: (0.302, 0.900)
118: (0.302, 0.899)
119: (0.300, 0.898)
120: (0.298, 0.897)
121: (0.296, 0.895)
122: (0.294, 0.895)
123: (0.293, 0.894)
124: (0.292, 0.893)
125: (0.290, 0.892)
126: (0.289, 0.891)
127: (0.288, 0.890)
128: (0.286, 0.890)
129: (0.284, 0.888)
130: (0.282, 0.887)
131: (0.280, 0.887)
132: (0.278, 0.885)
133: (0.276, 0.884)
134: (0.274, 0.884)
135: (0.273, 0.882)
136: (0.272, 0.882)
137: (0.271, 0.881)
138: (0.269, 0.879)
139: (0.267, 0.878)
140: (0.265, 0.877)
141: (0.264, 0.876)
142: (0.263, 0.875)
143: (0.261, 0.874)
144: (0.259, 0.872)
145: (0.258, 0.871)
146: (0.257, 0.870)
147: (0.255, 0.868)
148: (0.253, 0.865)
149: (0.253, 0.865)
150: (0.251, 0.863)
151: (0.250, 0.862)
152: (0.249, 0.860)
153: (0.248, 0.859)
154: (0.247, 0.858)
155: (0.245, 0.856)
156: (0.243, 0.855)
157: (0.241, 0.853)
158: (0.239, 0.851)
159: (0.237, 0.849)
160: (0.235, 0.848)
161: (0.233, 0.845)
162: (0.232, 0.844)
163: (0.233, 0.844)
path 9 — 8 points —
1: (0.392, 0.911) 2: (0.392, 0.912) 3: (0.390, 0.913) 4: (0.388, 0.914) 5: (0.386, 0.912) 6: (0.388, 0.910) 7: (0.390, 0.910) 8: (0.392, 0.910)
path 10 — 8 points —
1: (0.402, 0.906) 2: (0.401, 0.906) 3: (0.399, 0.907) 4: (0.397, 0.907) 5: (0.396, 0.906) 6: (0.397, 0.904) 7: (0.399, 0.904) 8: (0.401, 0.905)
path 11 — 4 points —
1: (0.414, 0.897) 2: (0.413, 0.899) 3: (0.413, 0.897) 4: (0.413, 0.896)
path 12 — 5 points —
1: (0.396, 0.908) 2: (0.394, 0.910) 3: (0.392, 0.908) 4: (0.394, 0.908) 5: (0.396, 0.907)
path 13 — 11 points —
1: (0.418, 0.885) 2: (0.419, 0.888) 3: (0.417, 0.891) 4: (0.416, 0.894) 5: (0.415, 0.896) 6: (0.414, 0.894) 7: (0.414, 0.891) 8: (0.414, 0.888) 9: (0.415, 0.886) 10: (0.416, 0.885) 11: (0.417, 0.884)
path 14 — 10 points —
1: (0.054, 0.879) 2: (0.054, 0.882) 3: (0.054, 0.885) 4: (0.054, 0.888) 5: (0.054, 0.889) 6: (0.054, 0.888) 7: (0.053, 0.885) 8: (0.054, 0.882) 9: (0.053, 0.879) 10: (0.054, 0.877)
path 15 — 13 points —
1: (0.382, 0.882) 2: (0.384, 0.885) 3: (0.386, 0.886) 4: (0.388, 0.886) 5: (0.390, 0.888) 6: (0.388, 0.890) 7: (0.386, 0.890) 8: (0.384, 0.889) 9: (0.383, 0.888) 10: (0.382, 0.887) 11: (0.381, 0.885) 12: (0.380, 0.882) 13: (0.382, 0.882)
path 16 — 4 points —
1: (0.402, 0.882) 2: (0.401, 0.883) 3: (0.400, 0.882) 4: (0.401, 0.880)
path 17 — 10 points —
1: (0.400, 0.885) 2: (0.399, 0.886) 3: (0.398, 0.888) 4: (0.397, 0.889) 5: (0.396, 0.888) 6: (0.394, 0.888) 7: (0.396, 0.888) 8: (0.396, 0.885) 9: (0.397, 0.884) 10: (0.399, 0.883)
path 18 — 6 points —
1: (0.427, 0.888) 2: (0.425, 0.889) 3: (0.423, 0.888) 4: (0.422, 0.888) 5: (0.423, 0.888) 6: (0.425, 0.887)
path 19 — 8 points —
1: (0.408, 0.879) 2: (0.408, 0.882) 3: (0.408, 0.885) 4: (0.407, 0.887) 5: (0.405, 0.887) 6: (0.404, 0.885) 7: (0.405, 0.884) 8: (0.406, 0.882)
path 20 — 10 points —
1: (0.437, 0.885) 2: (0.435, 0.887) 3: (0.433, 0.887) 4: (0.431, 0.885) 5: (0.429, 0.886) 6: (0.428, 0.885) 7: (0.429, 0.885) 8: (0.431, 0.885) 9: (0.433, 0.884) 10: (0.435, 0.884)
path 21 — 34 points —
1: (0.078, 0.879) 2: (0.077, 0.881) 3: (0.076, 0.882) 4: (0.076, 0.885) 5: (0.075, 0.888) 6: (0.073, 0.890) 7: (0.073, 0.891) 8: (0.073, 0.892) 9: (0.074, 0.894) 10: (0.073, 0.896) 11: (0.071, 0.895) 12: (0.070, 0.897) 13: (0.070, 0.900) 14: (0.069, 0.902) 15: (0.069, 0.900) 16: (0.068, 0.897) 17: (0.067, 0.895) 18: (0.065, 0.894) 19: (0.067, 0.891) 20: (0.065, 0.890)
show all 14 more points
21: (0.064, 0.888)
22: (0.064, 0.885)
23: (0.063, 0.883)
24: (0.063, 0.882)
25: (0.064, 0.879)
26: (0.065, 0.877)
27: (0.067, 0.877)
28: (0.069, 0.877)
29: (0.071, 0.878)
30: (0.073, 0.879)
31: (0.073, 0.880)
32: (0.075, 0.880)
33: (0.075, 0.879)
34: (0.077, 0.876)
path 22 — 4 points —
1: (0.440, 0.882) 2: (0.438, 0.883) 3: (0.437, 0.882) 4: (0.438, 0.881)
path 23 — 17 points —
1: (0.378, 0.871) 2: (0.377, 0.874) 3: (0.376, 0.876) 4: (0.375, 0.876) 5: (0.374, 0.878) 6: (0.372, 0.877) 7: (0.370, 0.877) 8: (0.368, 0.877) 9: (0.366, 0.874) 10: (0.368, 0.873) 11: (0.369, 0.874) 12: (0.370, 0.875) 13: (0.372, 0.876) 14: (0.374, 0.874) 15: (0.375, 0.874) 16: (0.375, 0.871) 17: (0.376, 0.868)
path 24 — 20 points —
1: (0.460, 0.862) 2: (0.459, 0.865) 3: (0.458, 0.866) 4: (0.457, 0.868) 5: (0.456, 0.870) 6: (0.456, 0.871) 7: (0.454, 0.872) 8: (0.453, 0.874) 9: (0.452, 0.875) 10: (0.450, 0.875) 11: (0.449, 0.874) 12: (0.450, 0.872) 13: (0.452, 0.872) 14: (0.453, 0.871) 15: (0.454, 0.869) 16: (0.455, 0.868) 17: (0.456, 0.865) 18: (0.457, 0.865) 19: (0.458, 0.862) 20: (0.458, 0.861)
path 25 — 18 points —
1: (0.415, 0.871) 2: (0.415, 0.871) 3: (0.416, 0.874) 4: (0.416, 0.876) 5: (0.416, 0.879) 6: (0.415, 0.881) 7: (0.414, 0.879) 8: (0.414, 0.876) 9: (0.414, 0.874) 10: (0.413, 0.872) 11: (0.412, 0.874) 12: (0.412, 0.876) 13: (0.411, 0.878) 14: (0.409, 0.876) 15: (0.410, 0.874) 16: (0.410, 0.871) 17: (0.411, 0.868) 18: (0.413, 0.869)
path 26 — 9 points —
1: (0.405, 0.874) 2: (0.406, 0.876) 3: (0.405, 0.879) 4: (0.404, 0.876) 5: (0.403, 0.876) 6: (0.401, 0.876) 7: (0.400, 0.874) 8: (0.401, 0.872) 9: (0.403, 0.872)
path 27 — 12 points —
1: (0.443, 0.847) 2: (0.442, 0.850) 3: (0.440, 0.852) 4: (0.438, 0.853) 5: (0.437, 0.852) 6: (0.435, 0.851) 7: (0.434, 0.850) 8: (0.437, 0.849) 9: (0.438, 0.849) 10: (0.440, 0.848) 11: (0.442, 0.847) 12: (0.442, 0.845)
path 28 — 4 points —
1: (0.448, 0.876) 2: (0.446, 0.877) 3: (0.444, 0.877) 4: (0.446, 0.876)
path 29 — 18 points —
1: (0.076, 0.865) 2: (0.075, 0.866) 3: (0.073, 0.867) 4: (0.071, 0.868) 5: (0.073, 0.868) 6: (0.074, 0.871) 7: (0.073, 0.873) 8: (0.071, 0.873) 9: (0.069, 0.872) 10: (0.068, 0.871) 11: (0.069, 0.868) 12: (0.071, 0.868) 13: (0.069, 0.867) 14: (0.067, 0.865) 15: (0.069, 0.863) 16: (0.071, 0.862) 17: (0.073, 0.863) 18: (0.075, 0.863)
path 30 — 11 points —
1: (0.391, 0.874) 2: (0.391, 0.876) 3: (0.392, 0.879) 4: (0.392, 0.879) 5: (0.392, 0.880) 6: (0.390, 0.881) 7: (0.389, 0.879) 8: (0.388, 0.876) 9: (0.387, 0.874) 10: (0.388, 0.872) 11: (0.390, 0.872)
path 31 — 30 points —
1: (0.391, 0.850) 2: (0.393, 0.853) 3: (0.394, 0.856) 4: (0.394, 0.859) 5: (0.394, 0.862) 6: (0.395, 0.865) 7: (0.394, 0.866) 8: (0.392, 0.866) 9: (0.391, 0.865) 10: (0.392, 0.864) 11: (0.393, 0.862) 12: (0.393, 0.859) 13: (0.393, 0.856) 14: (0.392, 0.855) 15: (0.390, 0.853) 16: (0.390, 0.852) 17: (0.389, 0.853) 18: (0.389, 0.856) 19: (0.389, 0.859) 20: (0.388, 0.861)
show all 10 more points
21: (0.387, 0.862)
22: (0.386, 0.864)
23: (0.384, 0.862)
24: (0.386, 0.860)
25: (0.386, 0.859)
26: (0.387, 0.856)
27: (0.387, 0.853)
28: (0.387, 0.850)
29: (0.388, 0.849)
30: (0.390, 0.849)
path 32 — 12 points —
1: (0.381, 0.865) 2: (0.382, 0.868) 3: (0.382, 0.871) 4: (0.382, 0.872) 5: (0.381, 0.871) 6: (0.380, 0.868) 7: (0.378, 0.867) 8: (0.376, 0.868) 9: (0.375, 0.865) 10: (0.376, 0.863) 11: (0.378, 0.863) 12: (0.380, 0.863)
⊟Feature print (embedding)768-D · float
Fixed-length descriptor (image embedding). Used for similarity / dedup via cosine distance. Sparkline shows the first 64 of 768 dimensions.
first 8 values: -0.016,-0.024,0.012,-0.06,-0.004,-0.011,-0.011,-0.039
{} Raw JSON 14 capability runs · on-device
Every Vision pass auge ran on this image. Click a file to see the full, un-truncated output (vector embeddings, full landmark points, every contour point — exactly what auge produced):
Wikimedia source
Girl with a Pearl Earring - Vermeer, 1665
attention 1 · 56%
face 1
faces 1665 Public Domain

Girl with a Pearl Earring - Vermeer, 1665

The 'Mona Lisa of the North'. The bounding box should fit her tilted face cleanly - a good test of normalized-coordinate accuracy.

$ auge --all vermeer-pearl.jpg
A OCR no text
No text detected in this image.
# Classify 10 labels
art
65%
painting
65%
people
28%
adult
28%
clothing
8%
headgear
8%
child
2%
illustrations
2%
cloak
2%
hat
1%
▦ Barcodes none
No barcodes or QR codes detected.
☻ Faces 1 detected
1 face located. Bounding boxes overlaid on the image above.
face 1: x=0.244 y=0.415 w=0.316 h=0.267
⨯Face landmarks1 face · 76 pts each
Per-face roll / yaw / pitch (head pose) and ~76 anchor points (eyes, brows, nose, lips, jawline, pupils). Points drawn on the image above.
face 1 — bbox=(0.258, 0.426, 0.298, 0.252) — pose not reported
faceContour 17 pts (1.192, 0.691), (1.176, 0.540), (1.147, 0.386), (1.093, 0.242), (0.998, 0.121), (0.873, 0.030), (0.730, -0.035), (0.578, -0.072), (0.419, -0.054), (0.344, 0.027), (0.306, 0.130), (0.264, 0.232), (0.227, 0.337), (0.198, 0.446), (0.181, 0.559), (0.187, 0.672), (0.209, 0.782)
innerLips 6 pts (0.349, 0.226), (0.375, 0.215), (0.461, 0.200), (0.459, 0.179), (0.374, 0.192), (0.348, 0.210)
leftEye 6 pts (0.239, 0.801), (0.281, 0.829), (0.346, 0.802), (0.373, 0.753), (0.327, 0.753), (0.268, 0.766)
leftEyebrow 6 pts (0.141, 0.923), (0.242, 0.939), (0.342, 0.902), (0.333, 0.863), (0.236, 0.892), (0.142, 0.892)
leftPupil 1 pt (0.307, 0.798)
medianLine 10 pts (0.421, 0.756), (0.390, 0.656), (0.355, 0.554), (0.319, 0.455), (0.375, 0.368), (0.373, 0.262), (0.375, 0.215), (0.374, 0.192), (0.377, 0.113), (0.419, -0.054)
nose 8 pts (0.390, 0.656), (0.345, 0.497), (0.320, 0.395), (0.347, 0.382), (0.375, 0.368), (0.432, 0.368), (0.487, 0.359), (0.503, 0.472)
noseCrest 6 pts (0.421, 0.756), (0.390, 0.656), (0.355, 0.554), (0.319, 0.455), (0.306, 0.419), (0.436, 0.419)
outerLips 14 pts (0.311, 0.252), (0.322, 0.268), (0.342, 0.277), (0.373, 0.262), (0.408, 0.262), (0.469, 0.234), (0.530, 0.206), (0.588, 0.176), (0.527, 0.132), (0.453, 0.108), (0.377, 0.113), (0.335, 0.141), (0.314, 0.186), (0.310, 0.235)
rightEye 6 pts (0.760, 0.700), (0.709, 0.746), (0.625, 0.756), (0.578, 0.710), (0.631, 0.689), (0.706, 0.679)
rightEyebrow 6 pts (0.834, 0.806), (0.691, 0.878), (0.531, 0.888), (0.530, 0.837), (0.681, 0.827), (0.823, 0.778)
rightPupil 1 pt (0.679, 0.729)
⌒Animals (cat/dog)0 detected
No cats or dogs detected by VNRecognizeAnimalsRequest. (The recognizer is conservative — paintings, distant or partial subjects often score below threshold.)
🐾Animal pose0 animals
No animal body poses detected.
⩎Body pose0 bodies
No human body poses detected.
✋Hand pose0 hands
No hands detected.
★Aesthetics0.400
memorable
overallScore range −1.00 utility → +1.00 memorable · 70.0% along scale
●Lens smudge0.53%
clean lens
confidence 0.00525665283203125 · 0% clean · 100% smudged
◉Saliency · attention1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 55.5% confidence — bbox=(0.231, 0.351, 0.559, 0.444)
◉Saliency · objectness1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 83.5% confidence — bbox=(0.296, 0.000, 0.659, 0.888)
▱Quadrilaterals1 detected
1 four-cornered shape — paper, screens, signs. Outlined on the image above.
rect 1 — 100.0% confidence — corners tl(0.298,0.615) tr(0.512,0.687) bl(0.361,0.418) br(0.573,0.401)
▭Text regions0 detected
No text regions detected by the cheap probe.
⏤Horizonno horizon
No horizon line detected (no clear sky/ground separation).
∿Contours256 total · 1 top-level
Vector edge contours of detected shapes. 1 path drawn on the image above (sampled from top-level).
path 1 — 1896 points —
1: (1.000, 0.001) 2: (1.000, 0.003) 3: (1.000, 0.005) 4: (1.000, 0.007) 5: (1.000, 0.009) 6: (1.000, 0.011) 7: (1.000, 0.013) 8: (1.000, 0.015) 9: (1.000, 0.017) 10: (1.000, 0.019) 11: (1.000, 0.021) 12: (1.000, 0.022) 13: (1.000, 0.024) 14: (1.000, 0.026) 15: (1.000, 0.028) 16: (1.000, 0.030) 17: (1.000, 0.032) 18: (1.000, 0.034) 19: (1.000, 0.036) 20: (1.000, 0.038)
show all 1876 more points
21: (1.000, 0.040)
22: (1.000, 0.042)
23: (1.000, 0.044)
24: (1.000, 0.046)
25: (1.000, 0.048)
26: (1.000, 0.050)
27: (1.000, 0.052)
28: (1.000, 0.054)
29: (1.000, 0.056)
30: (1.000, 0.058)
31: (1.000, 0.060)
32: (1.000, 0.062)
33: (1.000, 0.063)
34: (1.000, 0.065)
35: (1.000, 0.067)
36: (1.000, 0.069)
37: (1.000, 0.071)
38: (1.000, 0.073)
39: (1.000, 0.075)
40: (1.000, 0.077)
41: (1.000, 0.079)
42: (1.000, 0.081)
43: (1.000, 0.083)
44: (1.000, 0.085)
45: (1.000, 0.087)
46: (1.000, 0.089)
47: (1.000, 0.091)
48: (1.000, 0.093)
49: (1.000, 0.095)
50: (1.000, 0.097)
51: (1.000, 0.099)
52: (1.000, 0.101)
53: (1.000, 0.103)
54: (1.000, 0.104)
55: (1.000, 0.106)
56: (1.000, 0.108)
57: (1.000, 0.110)
58: (1.000, 0.112)
59: (1.000, 0.114)
60: (1.000, 0.116)
61: (1.000, 0.118)
62: (1.000, 0.120)
63: (1.000, 0.122)
64: (1.000, 0.124)
65: (1.000, 0.126)
66: (1.000, 0.128)
67: (1.000, 0.130)
68: (1.000, 0.132)
69: (1.000, 0.134)
70: (1.000, 0.136)
71: (1.000, 0.138)
72: (1.000, 0.140)
73: (1.000, 0.142)
74: (1.000, 0.144)
75: (1.000, 0.146)
76: (1.000, 0.147)
77: (1.000, 0.149)
78: (1.000, 0.151)
79: (1.000, 0.153)
80: (1.000, 0.155)
81: (1.000, 0.157)
82: (1.000, 0.159)
83: (1.000, 0.161)
84: (1.000, 0.163)
85: (1.000, 0.165)
86: (1.000, 0.167)
87: (1.000, 0.169)
88: (1.000, 0.171)
89: (1.000, 0.173)
90: (1.000, 0.175)
91: (1.000, 0.177)
92: (1.000, 0.179)
93: (1.000, 0.181)
94: (1.000, 0.183)
95: (1.000, 0.185)
96: (1.000, 0.187)
97: (1.000, 0.188)
98: (1.000, 0.190)
99: (1.000, 0.192)
100: (1.000, 0.194)
101: (1.000, 0.196)
102: (1.000, 0.198)
103: (1.000, 0.200)
104: (1.000, 0.202)
105: (1.000, 0.204)
106: (1.000, 0.206)
107: (1.000, 0.208)
108: (1.000, 0.210)
109: (1.000, 0.212)
110: (1.000, 0.214)
111: (1.000, 0.216)
112: (1.000, 0.218)
113: (1.000, 0.220)
114: (1.000, 0.222)
115: (1.000, 0.224)
116: (1.000, 0.226)
117: (1.000, 0.228)
118: (1.000, 0.229)
119: (1.000, 0.231)
120: (1.000, 0.233)
121: (1.000, 0.235)
122: (1.000, 0.237)
123: (1.000, 0.239)
124: (1.000, 0.241)
125: (1.000, 0.243)
126: (1.000, 0.245)
127: (1.000, 0.247)
128: (1.000, 0.249)
129: (1.000, 0.251)
130: (1.000, 0.253)
131: (1.000, 0.255)
132: (1.000, 0.257)
133: (1.000, 0.259)
134: (1.000, 0.261)
135: (1.000, 0.263)
136: (1.000, 0.265)
137: (1.000, 0.267)
138: (1.000, 0.269)
139: (1.000, 0.271)
140: (1.000, 0.272)
141: (1.000, 0.274)
142: (1.000, 0.276)
143: (1.000, 0.278)
144: (1.000, 0.280)
145: (1.000, 0.282)
146: (1.000, 0.284)
147: (1.000, 0.286)
148: (1.000, 0.288)
149: (1.000, 0.290)
150: (1.000, 0.292)
151: (1.000, 0.294)
152: (1.000, 0.296)
153: (1.000, 0.298)
154: (1.000, 0.300)
155: (1.000, 0.302)
156: (1.000, 0.304)
157: (1.000, 0.306)
158: (1.000, 0.308)
159: (1.000, 0.310)
160: (1.000, 0.312)
161: (1.000, 0.313)
162: (1.000, 0.315)
163: (1.000, 0.317)
164: (1.000, 0.319)
165: (1.000, 0.321)
166: (1.000, 0.323)
167: (1.000, 0.325)
168: (1.000, 0.327)
169: (1.000, 0.329)
170: (1.000, 0.331)
171: (1.000, 0.333)
172: (1.000, 0.335)
173: (1.000, 0.337)
174: (1.000, 0.339)
175: (1.000, 0.341)
176: (1.000, 0.343)
177: (1.000, 0.345)
178: (1.000, 0.347)
179: (1.000, 0.349)
180: (1.000, 0.351)
181: (1.000, 0.353)
182: (1.000, 0.354)
183: (1.000, 0.356)
184: (1.000, 0.358)
185: (1.000, 0.360)
186: (1.000, 0.362)
187: (1.000, 0.364)
188: (1.000, 0.366)
189: (1.000, 0.368)
190: (1.000, 0.370)
191: (1.000, 0.372)
192: (1.000, 0.374)
193: (1.000, 0.376)
194: (1.000, 0.378)
195: (1.000, 0.380)
196: (1.000, 0.382)
197: (1.000, 0.384)
198: (1.000, 0.386)
199: (1.000, 0.388)
200: (1.000, 0.390)
201: (1.000, 0.392)
202: (1.000, 0.394)
203: (1.000, 0.396)
204: (1.000, 0.397)
205: (1.000, 0.399)
206: (1.000, 0.401)
207: (1.000, 0.403)
208: (1.000, 0.405)
209: (1.000, 0.407)
210: (1.000, 0.409)
211: (1.000, 0.411)
212: (1.000, 0.413)
213: (1.000, 0.415)
214: (1.000, 0.417)
215: (1.000, 0.419)
216: (1.000, 0.421)
217: (1.000, 0.423)
218: (1.000, 0.425)
219: (1.000, 0.427)
220: (1.000, 0.429)
221: (1.000, 0.431)
222: (1.000, 0.433)
223: (1.000, 0.435)
224: (1.000, 0.437)
225: (1.000, 0.438)
226: (1.000, 0.440)
227: (1.000, 0.442)
228: (1.000, 0.444)
229: (1.000, 0.446)
230: (1.000, 0.448)
231: (1.000, 0.450)
232: (1.000, 0.452)
233: (1.000, 0.454)
234: (1.000, 0.456)
235: (1.000, 0.458)
236: (1.000, 0.460)
237: (1.000, 0.462)
238: (1.000, 0.464)
239: (1.000, 0.466)
240: (1.000, 0.468)
241: (1.000, 0.470)
242: (1.000, 0.472)
243: (1.000, 0.474)
244: (1.000, 0.476)
245: (1.000, 0.478)
246: (1.000, 0.479)
247: (1.000, 0.481)
248: (1.000, 0.483)
249: (1.000, 0.485)
250: (1.000, 0.487)
251: (1.000, 0.489)
252: (1.000, 0.491)
253: (1.000, 0.493)
254: (1.000, 0.495)
255: (1.000, 0.497)
256: (1.000, 0.499)
257: (1.000, 0.501)
258: (1.000, 0.503)
259: (1.000, 0.505)
260: (1.000, 0.507)
261: (1.000, 0.509)
262: (1.000, 0.511)
263: (1.000, 0.513)
264: (1.000, 0.515)
265: (1.000, 0.517)
266: (1.000, 0.519)
267: (1.000, 0.521)
268: (1.000, 0.522)
269: (1.000, 0.524)
270: (1.000, 0.526)
271: (1.000, 0.528)
272: (1.000, 0.530)
273: (1.000, 0.532)
274: (1.000, 0.534)
275: (1.000, 0.536)
276: (1.000, 0.538)
277: (1.000, 0.540)
278: (1.000, 0.542)
279: (1.000, 0.544)
280: (1.000, 0.546)
281: (1.000, 0.548)
282: (1.000, 0.550)
283: (1.000, 0.552)
284: (1.000, 0.554)
285: (1.000, 0.556)
286: (1.000, 0.558)
287: (1.000, 0.560)
288: (1.000, 0.562)
289: (1.000, 0.563)
290: (1.000, 0.565)
291: (1.000, 0.567)
292: (1.000, 0.569)
293: (1.000, 0.571)
294: (1.000, 0.573)
295: (1.000, 0.575)
296: (1.000, 0.577)
297: (1.000, 0.579)
298: (1.000, 0.581)
299: (1.000, 0.583)
300: (1.000, 0.585)
301: (1.000, 0.587)
302: (1.000, 0.589)
303: (1.000, 0.591)
304: (1.000, 0.593)
305: (1.000, 0.595)
306: (1.000, 0.597)
307: (1.000, 0.599)
308: (1.000, 0.601)
309: (1.000, 0.603)
310: (1.000, 0.604)
311: (1.000, 0.606)
312: (1.000, 0.608)
313: (1.000, 0.610)
314: (1.000, 0.612)
315: (1.000, 0.614)
316: (1.000, 0.616)
317: (1.000, 0.618)
318: (1.000, 0.620)
319: (1.000, 0.622)
320: (1.000, 0.624)
321: (1.000, 0.626)
322: (1.000, 0.628)
323: (1.000, 0.630)
324: (1.000, 0.632)
325: (1.000, 0.634)
326: (1.000, 0.636)
327: (1.000, 0.638)
328: (1.000, 0.640)
329: (1.000, 0.642)
330: (1.000, 0.644)
331: (1.000, 0.646)
332: (1.000, 0.647)
333: (1.000, 0.649)
334: (1.000, 0.651)
335: (1.000, 0.653)
336: (1.000, 0.655)
337: (1.000, 0.657)
338: (1.000, 0.659)
339: (1.000, 0.661)
340: (1.000, 0.663)
341: (1.000, 0.665)
342: (1.000, 0.667)
343: (1.000, 0.669)
344: (1.000, 0.671)
345: (1.000, 0.673)
346: (1.000, 0.675)
347: (1.000, 0.677)
348: (1.000, 0.679)
349: (1.000, 0.681)
350: (1.000, 0.683)
351: (1.000, 0.685)
352: (1.000, 0.687)
353: (1.000, 0.688)
354: (1.000, 0.690)
355: (1.000, 0.692)
356: (1.000, 0.694)
357: (1.000, 0.696)
358: (1.000, 0.698)
359: (1.000, 0.700)
360: (1.000, 0.702)
361: (1.000, 0.704)
362: (1.000, 0.706)
363: (1.000, 0.708)
364: (1.000, 0.710)
365: (1.000, 0.712)
366: (1.000, 0.714)
367: (1.000, 0.716)
368: (1.000, 0.718)
369: (1.000, 0.720)
370: (1.000, 0.722)
371: (1.000, 0.724)
372: (1.000, 0.726)
373: (1.000, 0.728)
374: (1.000, 0.729)
375: (1.000, 0.731)
376: (1.000, 0.733)
377: (1.000, 0.735)
378: (1.000, 0.737)
379: (1.000, 0.739)
380: (1.000, 0.741)
381: (1.000, 0.743)
382: (1.000, 0.745)
383: (1.000, 0.747)
384: (1.000, 0.749)
385: (1.000, 0.751)
386: (1.000, 0.753)
387: (1.000, 0.755)
388: (1.000, 0.757)
389: (1.000, 0.759)
390: (1.000, 0.761)
391: (1.000, 0.763)
392: (1.000, 0.765)
393: (1.000, 0.767)
394: (1.000, 0.769)
395: (1.000, 0.771)
396: (1.000, 0.772)
397: (1.000, 0.774)
398: (1.000, 0.776)
399: (1.000, 0.778)
400: (1.000, 0.780)
401: (1.000, 0.782)
402: (1.000, 0.784)
403: (1.000, 0.786)
404: (1.000, 0.788)
405: (1.000, 0.790)
406: (1.000, 0.792)
407: (1.000, 0.794)
408: (1.000, 0.796)
409: (1.000, 0.798)
410: (1.000, 0.800)
411: (1.000, 0.802)
412: (1.000, 0.804)
413: (1.000, 0.806)
414: (1.000, 0.808)
415: (1.000, 0.810)
416: (1.000, 0.812)
417: (1.000, 0.813)
418: (1.000, 0.815)
419: (1.000, 0.817)
420: (1.000, 0.819)
421: (1.000, 0.821)
422: (1.000, 0.823)
423: (1.000, 0.825)
424: (1.000, 0.827)
425: (1.000, 0.829)
426: (1.000, 0.831)
427: (1.000, 0.833)
428: (1.000, 0.835)
429: (1.000, 0.837)
430: (1.000, 0.839)
431: (1.000, 0.841)
432: (1.000, 0.843)
433: (1.000, 0.845)
434: (1.000, 0.847)
435: (1.000, 0.849)
436: (1.000, 0.851)
437: (1.000, 0.853)
438: (1.000, 0.854)
439: (1.000, 0.856)
440: (1.000, 0.858)
441: (1.000, 0.860)
442: (1.000, 0.862)
443: (1.000, 0.864)
444: (1.000, 0.866)
445: (1.000, 0.868)
446: (1.000, 0.870)
447: (1.000, 0.872)
448: (1.000, 0.874)
449: (1.000, 0.876)
450: (1.000, 0.878)
451: (1.000, 0.880)
452: (1.000, 0.882)
453: (1.000, 0.884)
454: (1.000, 0.886)
455: (1.000, 0.888)
456: (1.000, 0.890)
457: (1.000, 0.892)
458: (1.000, 0.894)
459: (1.000, 0.896)
460: (1.000, 0.897)
461: (1.000, 0.899)
462: (1.000, 0.901)
463: (1.000, 0.903)
464: (1.000, 0.905)
465: (1.000, 0.907)
466: (1.000, 0.909)
467: (1.000, 0.911)
468: (1.000, 0.913)
469: (1.000, 0.915)
470: (1.000, 0.917)
471: (1.000, 0.919)
472: (1.000, 0.921)
473: (1.000, 0.923)
474: (1.000, 0.925)
475: (1.000, 0.927)
476: (1.000, 0.929)
477: (1.000, 0.931)
478: (1.000, 0.933)
479: (1.000, 0.935)
480: (1.000, 0.937)
481: (1.000, 0.938)
482: (1.000, 0.940)
483: (1.000, 0.942)
484: (1.000, 0.944)
485: (1.000, 0.946)
486: (1.000, 0.948)
487: (1.000, 0.950)
488: (1.000, 0.952)
489: (1.000, 0.954)
490: (1.000, 0.956)
491: (1.000, 0.958)
492: (1.000, 0.960)
493: (1.000, 0.962)
494: (1.000, 0.964)
495: (1.000, 0.966)
496: (1.000, 0.968)
497: (1.000, 0.970)
498: (1.000, 0.972)
499: (1.000, 0.974)
500: (1.000, 0.976)
501: (1.000, 0.978)
502: (1.000, 0.979)
503: (1.000, 0.981)
504: (1.000, 0.983)
505: (1.000, 0.985)
506: (1.000, 0.987)
507: (1.000, 0.989)
508: (1.000, 0.991)
509: (1.000, 0.993)
510: (1.000, 0.995)
511: (1.000, 0.997)
512: (1.000, 0.999)
513: (0.999, 1.000)
514: (0.997, 1.000)
515: (0.994, 1.000)
516: (0.992, 1.000)
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1721: (0.594, 0.000)
1722: (0.596, 0.000)
1723: (0.598, 0.000)
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1725: (0.603, 0.000)
1726: (0.605, 0.000)
1727: (0.608, 0.000)
1728: (0.610, 0.000)
1729: (0.612, 0.000)
1730: (0.615, 0.000)
1731: (0.617, 0.000)
1732: (0.619, 0.000)
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1734: (0.624, 0.000)
1735: (0.626, 0.000)
1736: (0.628, 0.000)
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1739: (0.635, 0.000)
1740: (0.638, 0.000)
1741: (0.640, 0.000)
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1743: (0.645, 0.000)
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1745: (0.649, 0.000)
1746: (0.652, 0.000)
1747: (0.654, 0.000)
1748: (0.656, 0.000)
1749: (0.659, 0.000)
1750: (0.661, 0.000)
1751: (0.663, 0.000)
1752: (0.666, 0.000)
1753: (0.668, 0.000)
1754: (0.670, 0.000)
1755: (0.672, 0.000)
1756: (0.675, 0.000)
1757: (0.677, 0.000)
1758: (0.679, 0.000)
1759: (0.682, 0.000)
1760: (0.684, 0.000)
1761: (0.686, 0.000)
1762: (0.689, 0.000)
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1764: (0.693, 0.000)
1765: (0.696, 0.000)
1766: (0.698, 0.000)
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1786: (0.744, 0.000)
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1800: (0.777, 0.000)
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1804: (0.786, 0.000)
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1810: (0.800, 0.000)
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1812: (0.804, 0.000)
1813: (0.807, 0.000)
1814: (0.809, 0.000)
1815: (0.811, 0.000)
1816: (0.814, 0.000)
1817: (0.816, 0.000)
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1820: (0.823, 0.000)
1821: (0.825, 0.000)
1822: (0.828, 0.000)
1823: (0.830, 0.000)
1824: (0.832, 0.000)
1825: (0.834, 0.000)
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1827: (0.839, 0.000)
1828: (0.841, 0.000)
1829: (0.844, 0.000)
1830: (0.846, 0.000)
1831: (0.848, 0.000)
1832: (0.851, 0.000)
1833: (0.853, 0.000)
1834: (0.855, 0.000)
1835: (0.858, 0.000)
1836: (0.860, 0.000)
1837: (0.862, 0.000)
1838: (0.865, 0.000)
1839: (0.867, 0.000)
1840: (0.869, 0.000)
1841: (0.872, 0.000)
1842: (0.874, 0.000)
1843: (0.876, 0.000)
1844: (0.878, 0.000)
1845: (0.881, 0.000)
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1847: (0.885, 0.000)
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1849: (0.890, 0.000)
1850: (0.892, 0.000)
1851: (0.895, 0.000)
1852: (0.897, 0.000)
1853: (0.899, 0.000)
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1855: (0.904, 0.000)
1856: (0.906, 0.000)
1857: (0.909, 0.000)
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1860: (0.916, 0.000)
1861: (0.918, 0.000)
1862: (0.920, 0.000)
1863: (0.922, 0.000)
1864: (0.925, 0.000)
1865: (0.927, 0.000)
1866: (0.929, 0.000)
1867: (0.932, 0.000)
1868: (0.934, 0.000)
1869: (0.936, 0.000)
1870: (0.939, 0.000)
1871: (0.941, 0.000)
1872: (0.943, 0.000)
1873: (0.946, 0.000)
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1876: (0.953, 0.000)
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1884: (0.971, 0.000)
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1886: (0.976, 0.000)
1887: (0.978, 0.000)
1888: (0.980, 0.000)
1889: (0.983, 0.000)
1890: (0.985, 0.000)
1891: (0.987, 0.000)
1892: (0.990, 0.000)
1893: (0.992, 0.000)
1894: (0.994, 0.000)
1895: (0.997, 0.000)
1896: (0.999, 0.000)
⊟Feature print (embedding)768-D · float
Fixed-length descriptor (image embedding). Used for similarity / dedup via cosine distance. Sparkline shows the first 64 of 768 dimensions.
first 8 values: -0.023,-0.005,0.107,0.059,-0.002,0.112,0.029,0.002
{} Raw JSON 14 capability runs · on-device
Every Vision pass auge ran on this image. Click a file to see the full, un-truncated output (vector embeddings, full landmark points, every contour point — exactly what auge produced):
Wikimedia source
New-York Daily Tribune, 1865
attention 1 · 63%
historical 1865 Public Domain

New-York Daily Tribune, 1865

A real 1865 newspaper PDF from the Internet Archive. auge handles PDF natively via PDFKit and runs every other analysis on each page.

$ auge --all ny-tribune-1865.pdf
A OCR 4 lines · 56 chars 
EUROPE.
Dem-Mork
THE SEVEN-TAIOTIES.
THE DISASTER AT BRA
# Classify 8 labels
document
66%
printed_page
66%
newspaper
15%
book
11%
screenshot
2%
handwriting
2%
art
2%
illustrations
2%
▦ Barcodes none
No barcodes or QR codes detected.
☻ Faces 0 detected
No faces detected.
⨯Face landmarks0 faces
No faces detected, so no landmarks.
⌒Animals (cat/dog)0 detected
No cats or dogs detected by VNRecognizeAnimalsRequest. (The recognizer is conservative — paintings, distant or partial subjects often score below threshold.)
🐾Animal pose0 animals
No animal body poses detected.
⩎Body pose0 bodies
No human body poses detected.
✋Hand pose0 hands
No hands detected.
★Aesthetics0.050
utility shot
overallScore range −1.00 utility → +1.00 memorable · 52.5% along scale
●Lens smudge0.08%
clean lens
confidence 0.0007572174072265625 · 0% clean · 100% smudged
◉Saliency · attention1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 63.0% confidence — bbox=(0.000, 0.285, 0.941, 0.715)
◉Saliency · objectness2 regions
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 43.3% confidence — bbox=(0.040, 0.022, 0.151, 0.318)
region 2 — 57.1% confidence — bbox=(0.279, 0.013, 0.721, 0.386)
▱Quadrilaterals1 detected
1 four-cornered shape — paper, screens, signs. Outlined on the image above.
rect 1 — 100.0% confidence — corners tl(0.029,0.986) tr(0.963,0.986) bl(0.039,0.018) br(0.976,0.026)
▭Text regions2 detected
Lightweight text-region detector (just bounding boxes — no recognition). Boxes drawn on the image above.
region 1 — 100.0% confidence — bbox=(0.204, 0.919, 0.236, 0.045)
region 2 — 100.0% confidence — bbox=(0.552, 0.927, 0.230, 0.037)
⏤Horizonno horizon
No horizon line detected (no clear sky/ground separation).
∿Contours507 total · 506 top-level
Vector edge contours of detected shapes. 32 paths drawn on the image above (sampled from top-level).
path 1 — 4 points —
1: (0.476, 0.968) 2: (0.474, 0.968) 3: (0.473, 0.968) 4: (0.474, 0.967)
path 2 — 5 points —
1: (0.835, 0.601) 2: (0.835, 0.601) 3: (0.832, 0.601) 4: (0.830, 0.601) 5: (0.832, 0.601)
path 3 — 23 points —
1: (0.372, 0.931) 2: (0.372, 0.933) 3: (0.372, 0.935) 4: (0.373, 0.937) 5: (0.372, 0.938) 6: (0.373, 0.940) 7: (0.373, 0.942) 8: (0.373, 0.944) 9: (0.373, 0.946) 10: (0.372, 0.948) 11: (0.371, 0.949) 12: (0.369, 0.948) 13: (0.368, 0.946) 14: (0.368, 0.944) 15: (0.368, 0.942) 16: (0.368, 0.940) 17: (0.367, 0.938) 18: (0.367, 0.937) 19: (0.369, 0.936) 20: (0.371, 0.935)
show all 3 more points
21: (0.371, 0.933)
22: (0.370, 0.931)
23: (0.371, 0.930)
path 4 — 12 points —
1: (0.484, 0.966) 2: (0.487, 0.966) 3: (0.489, 0.967) 4: (0.490, 0.968) 5: (0.489, 0.968) 6: (0.487, 0.969) 7: (0.484, 0.969) 8: (0.482, 0.969) 9: (0.479, 0.968) 10: (0.477, 0.966) 11: (0.479, 0.964) 12: (0.482, 0.964)
path 5 — 12 points —
1: (0.506, 0.960) 2: (0.507, 0.962) 3: (0.507, 0.964) 4: (0.506, 0.965) 5: (0.505, 0.966) 6: (0.505, 0.968) 7: (0.504, 0.969) 8: (0.503, 0.968) 9: (0.502, 0.966) 10: (0.504, 0.964) 11: (0.505, 0.962) 12: (0.505, 0.960)
path 6 — 4 points —
1: (0.174, 0.956) 2: (0.173, 0.957) 3: (0.171, 0.956) 4: (0.173, 0.955)
path 7 — 8 points —
1: (0.860, 0.962) 2: (0.860, 0.964) 3: (0.861, 0.966) 4: (0.859, 0.968) 5: (0.858, 0.966) 6: (0.859, 0.964) 7: (0.859, 0.962) 8: (0.859, 0.960)
path 8 — 4 points —
1: (0.883, 0.968) 2: (0.881, 0.968) 3: (0.880, 0.968) 4: (0.881, 0.967)
path 9 — 22 points —
1: (0.082, 0.956) 2: (0.081, 0.958) 3: (0.082, 0.960) 4: (0.082, 0.962) 5: (0.082, 0.964) 6: (0.085, 0.963) 7: (0.087, 0.963) 8: (0.088, 0.964) 9: (0.087, 0.965) 10: (0.086, 0.966) 11: (0.085, 0.967) 12: (0.082, 0.967) 13: (0.080, 0.967) 14: (0.077, 0.967) 15: (0.075, 0.966) 16: (0.076, 0.964) 17: (0.076, 0.962) 18: (0.076, 0.960) 19: (0.076, 0.958) 20: (0.076, 0.956)
show all 2 more points
21: (0.077, 0.955)
22: (0.080, 0.955)
path 10 — 16 points —
1: (0.900, 0.962) 2: (0.901, 0.963) 3: (0.902, 0.964) 4: (0.902, 0.966) 5: (0.903, 0.967) 6: (0.904, 0.968) 7: (0.903, 0.968) 8: (0.902, 0.968) 9: (0.901, 0.966) 10: (0.899, 0.968) 11: (0.898, 0.968) 12: (0.898, 0.968) 13: (0.897, 0.966) 14: (0.898, 0.964) 15: (0.896, 0.962) 16: (0.898, 0.961)
path 11 — 4 points —
1: (0.495, 0.958) 2: (0.494, 0.959) 3: (0.492, 0.958) 4: (0.494, 0.957)
path 12 — 4 points —
1: (0.130, 0.866) 2: (0.129, 0.867) 3: (0.127, 0.866) 4: (0.129, 0.866)
path 13 — 27 points —
1: (0.123, 0.956) 2: (0.121, 0.957) 3: (0.119, 0.958) 4: (0.119, 0.960) 5: (0.120, 0.962) 6: (0.120, 0.964) 7: (0.119, 0.965) 8: (0.118, 0.966) 9: (0.116, 0.967) 10: (0.114, 0.967) 11: (0.112, 0.967) 12: (0.109, 0.966) 13: (0.109, 0.965) 14: (0.110, 0.964) 15: (0.112, 0.963) 16: (0.114, 0.962) 17: (0.116, 0.964) 18: (0.116, 0.964) 19: (0.118, 0.964) 20: (0.117, 0.962)
show all 7 more points
21: (0.116, 0.961)
22: (0.115, 0.960)
23: (0.116, 0.959)
24: (0.118, 0.958)
25: (0.117, 0.956)
26: (0.119, 0.955)
27: (0.121, 0.955)
path 14 — 4 points —
1: (0.297, 0.950) 2: (0.295, 0.951) 3: (0.295, 0.950) 4: (0.295, 0.949)
path 15 — 23 points —
1: (0.135, 0.956) 2: (0.134, 0.957) 3: (0.131, 0.956) 4: (0.130, 0.958) 5: (0.129, 0.960) 6: (0.128, 0.962) 7: (0.130, 0.964) 8: (0.131, 0.965) 9: (0.134, 0.964) 10: (0.134, 0.966) 11: (0.134, 0.966) 12: (0.131, 0.967) 13: (0.130, 0.966) 14: (0.129, 0.965) 15: (0.127, 0.964) 16: (0.125, 0.962) 17: (0.125, 0.960) 18: (0.126, 0.958) 19: (0.126, 0.958) 20: (0.127, 0.956)
show all 3 more points
21: (0.129, 0.955)
22: (0.131, 0.956)
23: (0.134, 0.956)
path 16 — 4 points —
1: (0.343, 0.956) 2: (0.342, 0.958) 3: (0.341, 0.956) 4: (0.342, 0.954)
path 17 — 4 points —
1: (0.511, 0.966) 2: (0.513, 0.967) 3: (0.511, 0.969) 4: (0.509, 0.968)
path 18 — 9 points —
1: (0.787, 0.960) 2: (0.787, 0.962) 3: (0.786, 0.964) 4: (0.787, 0.966) 5: (0.786, 0.966) 6: (0.785, 0.966) 7: (0.786, 0.964) 8: (0.785, 0.962) 9: (0.785, 0.960)
path 19 — 6 points —
1: (0.797, 0.966) 2: (0.795, 0.966) 3: (0.793, 0.966) 4: (0.791, 0.966) 5: (0.793, 0.965) 6: (0.795, 0.965)
path 20 — 4 points —
1: (0.809, 0.966) 2: (0.808, 0.967) 3: (0.805, 0.966) 4: (0.808, 0.964)
path 21 — 4 points —
1: (0.816, 0.966) 2: (0.815, 0.967) 3: (0.814, 0.966) 4: (0.815, 0.964)
path 22 — 35 points —
1: (0.846, 0.960) 2: (0.846, 0.962) 3: (0.846, 0.964) 4: (0.846, 0.966) 5: (0.844, 0.967) 6: (0.842, 0.967) 7: (0.839, 0.967) 8: (0.837, 0.967) 9: (0.835, 0.966) 10: (0.833, 0.964) 11: (0.835, 0.962) 12: (0.837, 0.962) 13: (0.835, 0.962) 14: (0.832, 0.962) 15: (0.831, 0.962) 16: (0.831, 0.964) 17: (0.831, 0.966) 18: (0.830, 0.967) 19: (0.828, 0.966) 20: (0.828, 0.964)
show all 15 more points
21: (0.829, 0.962)
22: (0.829, 0.960)
23: (0.830, 0.960)
24: (0.832, 0.959)
25: (0.835, 0.959)
26: (0.837, 0.960)
27: (0.837, 0.962)
28: (0.836, 0.964)
29: (0.837, 0.964)
30: (0.839, 0.965)
31: (0.842, 0.965)
32: (0.843, 0.964)
33: (0.843, 0.962)
34: (0.843, 0.960)
35: (0.844, 0.959)
path 23 — 4 points —
1: (0.855, 0.960) 2: (0.852, 0.961) 3: (0.849, 0.960) 4: (0.852, 0.960)
path 24 — 6 points —
1: (0.874, 0.962) 2: (0.875, 0.964) 3: (0.875, 0.966) 4: (0.874, 0.967) 5: (0.872, 0.966) 6: (0.872, 0.964)
path 25 — 31 points —
1: (0.099, 0.956) 2: (0.097, 0.957) 3: (0.096, 0.958) 4: (0.096, 0.960) 5: (0.096, 0.962) 6: (0.096, 0.964) 7: (0.097, 0.964) 8: (0.099, 0.965) 9: (0.100, 0.964) 10: (0.100, 0.962) 11: (0.100, 0.960) 12: (0.101, 0.958) 13: (0.102, 0.957) 14: (0.103, 0.958) 15: (0.103, 0.960) 16: (0.103, 0.962) 17: (0.104, 0.964) 18: (0.105, 0.966) 19: (0.104, 0.966) 20: (0.102, 0.967)
show all 11 more points
21: (0.099, 0.967)
22: (0.097, 0.967)
23: (0.094, 0.967)
24: (0.092, 0.966)
25: (0.091, 0.966)
26: (0.092, 0.964)
27: (0.093, 0.962)
28: (0.093, 0.960)
29: (0.093, 0.958)
30: (0.094, 0.956)
31: (0.097, 0.955)
path 26 — 8 points —
1: (0.115, 0.956) 2: (0.114, 0.957) 3: (0.112, 0.957) 4: (0.109, 0.957) 5: (0.108, 0.956) 6: (0.109, 0.955) 7: (0.112, 0.955) 8: (0.114, 0.955)
path 27 — 4 points —
1: (0.210, 0.958) 2: (0.210, 0.959) 3: (0.209, 0.958) 4: (0.210, 0.957)
path 28 — 23 points —
1: (0.147, 0.956) 2: (0.146, 0.958) 3: (0.148, 0.960) 4: (0.147, 0.962) 5: (0.148, 0.964) 6: (0.148, 0.965) 7: (0.149, 0.964) 8: (0.151, 0.963) 9: (0.153, 0.962) 10: (0.154, 0.964) 11: (0.151, 0.965) 12: (0.149, 0.966) 13: (0.148, 0.966) 14: (0.146, 0.967) 15: (0.143, 0.967) 16: (0.142, 0.966) 17: (0.142, 0.964) 18: (0.143, 0.962) 19: (0.144, 0.962) 20: (0.144, 0.960)
show all 3 more points
21: (0.145, 0.958)
22: (0.144, 0.956)
23: (0.146, 0.955)
path 29 — 14 points —
1: (0.164, 0.956) 2: (0.163, 0.956) 3: (0.161, 0.958) 4: (0.162, 0.960) 5: (0.162, 0.962) 6: (0.163, 0.964) 7: (0.161, 0.965) 8: (0.158, 0.964) 9: (0.159, 0.962) 10: (0.159, 0.960) 11: (0.160, 0.958) 12: (0.160, 0.956) 13: (0.161, 0.955) 14: (0.163, 0.954)
path 30 — 10 points —
1: (0.167, 0.960) 2: (0.168, 0.961) 3: (0.168, 0.962) 4: (0.170, 0.964) 5: (0.168, 0.965) 6: (0.165, 0.964) 7: (0.167, 0.962) 8: (0.165, 0.961) 9: (0.164, 0.960) 10: (0.165, 0.958)
path 31 — 4 points —
1: (0.555, 0.954) 2: (0.556, 0.956) 3: (0.555, 0.957) 4: (0.555, 0.956)
path 32 — 6 points —
1: (0.488, 0.962) 2: (0.489, 0.964) 3: (0.487, 0.966) 4: (0.485, 0.964) 5: (0.486, 0.962) 6: (0.487, 0.960)
⊟Feature print (embedding)768-D · float
Fixed-length descriptor (image embedding). Used for similarity / dedup via cosine distance. Sparkline shows the first 64 of 768 dimensions.
first 8 values: 0.018,0.001,0.009,-0.081,-0.032,0.041,0.058,-0.054
{} Raw JSON 14 capability runs · on-device
Every Vision pass auge ran on this image. Click a file to see the full, un-truncated output (vector embeddings, full landmark points, every contour point — exactly what auge produced):
Wikimedia source
Welsh-English no-parking sign, Wales
attention 1 · 68%
multilingual 2010 Public Domain

Welsh-English no-parking sign, Wales

Welsh signage law requires every public sign to be bilingual. auge --langs cy,en-GB OCRs both 'Dim Parcio' and 'No Parking' in one pass.

$ auge --all --langs cy,en-GB welsh-english-sign.jpg
A OCR 7 lines · 67 chars 
Dim Parcio
Mae Angen
Mynediad
24 Awr
No Parking
24h Access
Required
# Classify 10 labels
structure
86%
sign
86%
material
43%
brick
43%
street_sign
37%
conveyance
11%
portal
11%
window
11%
raw_glass
5%
stairs
2%
▦ Barcodes none
No barcodes or QR codes detected.
☻ Faces 0 detected
No faces detected.
⨯Face landmarks0 faces
No faces detected, so no landmarks.
⌒Animals (cat/dog)0 detected
No cats or dogs detected by VNRecognizeAnimalsRequest. (The recognizer is conservative — paintings, distant or partial subjects often score below threshold.)
🐾Animal pose0 animals
No animal body poses detected.
⩎Body pose0 bodies
No human body poses detected.
✋Hand pose0 hands
No hands detected.
★Aesthetics0.273
utility shot
overallScore range −1.00 utility → +1.00 memorable · 63.6% along scale
●Lens smudge0.35%
clean lens
confidence 0.003509521484375 · 0% clean · 100% smudged
◉Saliency · attention1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 68.0% confidence — bbox=(0.280, 0.124, 0.504, 0.795)
◉Saliency · objectness1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 78.8% confidence — bbox=(0.257, 0.013, 0.576, 0.892)
▱Quadrilaterals2 detected
2 four-cornered shapes — paper, screens, signs. Outlined on the image above.
rect 1 — 100.0% confidence — corners tl(0.015,0.663) tr(0.259,0.670) bl(0.016,0.437) br(0.257,0.428)
rect 2 — 100.0% confidence — corners tl(0.454,0.877) tr(0.660,0.802) bl(0.424,0.660) br(0.641,0.632)
▭Text regions7 detected
Lightweight text-region detector (just bounding boxes — no recognition). Boxes drawn on the image above.
region 1 — 100.0% confidence — bbox=(0.339, 0.557, 0.407, 0.073)
region 2 — 100.0% confidence — bbox=(0.333, 0.482, 0.413, 0.073)
region 3 — 100.0% confidence — bbox=(0.369, 0.416, 0.347, 0.064)
region 4 — 100.0% confidence — bbox=(0.406, 0.355, 0.270, 0.053)
region 5 — 100.0% confidence — bbox=(0.331, 0.250, 0.412, 0.080)
region 6 — 100.0% confidence — bbox=(0.317, 0.178, 0.430, 0.069)
region 7 — 100.0% confidence — bbox=(0.368, 0.100, 0.340, 0.085)
⏤Horizonno horizon
No horizon line detected (no clear sky/ground separation).
∿Contours4108 total · 10 top-level
Vector edge contours of detected shapes. 10 paths drawn on the image above (sampled from top-level).
path 1 — 4 points —
1: (0.502, 0.999) 2: (0.500, 0.999) 3: (0.497, 0.999) 4: (0.500, 0.997)
path 2 — 4 points —
1: (0.527, 0.999) 2: (0.524, 0.999) 3: (0.521, 0.999) 4: (0.524, 0.998)
path 3 — 8 points —
1: (0.651, 0.966) 2: (0.653, 0.968) 3: (0.652, 0.970) 4: (0.650, 0.970) 5: (0.648, 0.970) 6: (0.650, 0.968) 7: (0.650, 0.966) 8: (0.650, 0.965)
path 4 — 1958 points —
1: (1.000, 0.001) 2: (1.000, 0.003) 3: (1.000, 0.005) 4: (1.000, 0.007) 5: (1.000, 0.009) 6: (1.000, 0.011) 7: (1.000, 0.013) 8: (1.000, 0.015) 9: (1.000, 0.017) 10: (1.000, 0.019) 11: (1.000, 0.021) 12: (1.000, 0.022) 13: (1.000, 0.024) 14: (1.000, 0.026) 15: (1.000, 0.028) 16: (1.000, 0.030) 17: (1.000, 0.032) 18: (1.000, 0.034) 19: (1.000, 0.036) 20: (1.000, 0.038)
show all 1938 more points
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1686: (0.255, 0.015)
1687: (0.254, 0.017)
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path 5 — 6 points —
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path 6 — 4 points —
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path 7 — 4 points —
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path 8 — 9 points —
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path 9 — 8 points —
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path 10 — 3 points —
1: (0.257, 0.005) 2: (0.257, 0.005) 3: (0.256, 0.005)
⊟Feature print (embedding)768-D · float
Fixed-length descriptor (image embedding). Used for similarity / dedup via cosine distance. Sparkline shows the first 64 of 768 dimensions.
first 8 values: 0.044,0.01,-0.008,-0.001,0.003,0.036,-0.045,-0.02
{} Raw JSON 14 capability runs · on-device
Every Vision pass auge ran on this image. Click a file to see the full, un-truncated output (vector embeddings, full landmark points, every contour point — exactly what auge produced):
Wikimedia source
Sombrero Galaxy (M104) - Hubble
attention 1 · 63%
classify 2003 Public Domain (NASA / ESA)

Sombrero Galaxy (M104) - Hubble

M104 in Virgo, 28 million light-years away. The dust lane edge-on gives it the namesake hat shape. Vision classifies 'galaxy / astronomy'.

$ auge --all sombrero-galaxy.jpg
A OCR no text
No text detected in this image.
# Classify 10 labels
outdoor
83%
sky
83%
night_sky
83%
aurora
5%
cloudy
3%
liquid
3%
water
3%
frozen
3%
snow
3%
water_body
2%
▦ Barcodes none
No barcodes or QR codes detected.
☻ Faces 0 detected
No faces detected.
⨯Face landmarks0 faces
No faces detected, so no landmarks.
⌒Animals (cat/dog)0 detected
No cats or dogs detected by VNRecognizeAnimalsRequest. (The recognizer is conservative — paintings, distant or partial subjects often score below threshold.)
🐾Animal pose0 animals
No animal body poses detected.
⩎Body pose0 bodies
No human body poses detected.
✋Hand pose0 hands
No hands detected.
★Aesthetics0.688
memorable
overallScore range −1.00 utility → +1.00 memorable · 84.4% along scale
●Lens smudge0.49%
clean lens
confidence 0.004909515380859375 · 0% clean · 100% smudged
◉Saliency · attention1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 62.6% confidence — bbox=(0.116, 0.110, 0.849, 0.689)
◉Saliency · objectness0 regions
No salient regions identified.
▱Quadrilaterals0 detected
No four-cornered shapes found.
▭Text regions1 detected
Lightweight text-region detector (just bounding boxes — no recognition). Boxes drawn on the image above.
region 1 — 100.0% confidence — bbox=(0.188, 0.208, 0.650, 0.792)
⏤Horizon4.37°
4.37° slight tilt
0.0764 rad · red line drawn on image above · the small preview is rotated by -4.38° to make the horizon level.
rotated to level horizon
corrected (rotated by -4.38°) — the red dotted line is true horizontal.
∿Contours46 total · 1 top-level
Vector edge contours of detected shapes. 1 path drawn on the image above (sampled from top-level).
path 1 — 1598 points —
1: (1.000, 0.002) 2: (1.000, 0.005) 3: (1.000, 0.009) 4: (1.000, 0.012) 5: (1.000, 0.016) 6: (1.000, 0.019) 7: (1.000, 0.023) 8: (1.000, 0.026) 9: (1.000, 0.030) 10: (1.000, 0.033) 11: (1.000, 0.037) 12: (1.000, 0.040) 13: (1.000, 0.044) 14: (1.000, 0.047) 15: (1.000, 0.051) 16: (1.000, 0.054) 17: (1.000, 0.057) 18: (1.000, 0.061) 19: (1.000, 0.064) 20: (1.000, 0.068)
show all 1578 more points
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1419: (0.649, -0.000)
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1421: (0.653, -0.000)
1422: (0.655, -0.000)
1423: (0.657, -0.000)
1424: (0.659, -0.000)
1425: (0.661, -0.000)
1426: (0.663, -0.000)
1427: (0.665, -0.000)
1428: (0.667, -0.000)
1429: (0.669, -0.000)
1430: (0.671, -0.000)
1431: (0.673, -0.000)
1432: (0.675, -0.000)
1433: (0.677, -0.000)
1434: (0.679, -0.000)
1435: (0.681, -0.000)
1436: (0.683, -0.000)
1437: (0.685, -0.000)
1438: (0.687, -0.000)
1439: (0.688, -0.000)
1440: (0.690, -0.000)
1441: (0.692, -0.000)
1442: (0.694, -0.000)
1443: (0.696, -0.000)
1444: (0.698, -0.000)
1445: (0.700, -0.000)
1446: (0.702, -0.000)
1447: (0.704, -0.000)
1448: (0.706, -0.000)
1449: (0.708, -0.000)
1450: (0.710, -0.000)
1451: (0.712, -0.000)
1452: (0.714, -0.000)
1453: (0.716, -0.000)
1454: (0.718, -0.000)
1455: (0.720, -0.000)
1456: (0.722, -0.000)
1457: (0.724, -0.000)
1458: (0.726, -0.000)
1459: (0.728, -0.000)
1460: (0.729, -0.000)
1461: (0.731, -0.000)
1462: (0.733, -0.000)
1463: (0.735, -0.000)
1464: (0.737, -0.000)
1465: (0.739, -0.000)
1466: (0.741, -0.000)
1467: (0.743, -0.000)
1468: (0.745, -0.000)
1469: (0.747, -0.000)
1470: (0.749, -0.000)
1471: (0.751, -0.000)
1472: (0.753, -0.000)
1473: (0.755, -0.000)
1474: (0.757, -0.000)
1475: (0.759, -0.000)
1476: (0.761, -0.000)
1477: (0.763, -0.000)
1478: (0.765, -0.000)
1479: (0.767, -0.000)
1480: (0.769, -0.000)
1481: (0.771, -0.000)
1482: (0.772, -0.000)
1483: (0.774, -0.000)
1484: (0.776, -0.000)
1485: (0.778, -0.000)
1486: (0.780, -0.000)
1487: (0.782, -0.000)
1488: (0.784, -0.000)
1489: (0.786, -0.000)
1490: (0.788, -0.000)
1491: (0.790, -0.000)
1492: (0.792, -0.000)
1493: (0.794, -0.000)
1494: (0.796, -0.000)
1495: (0.798, -0.000)
1496: (0.800, -0.000)
1497: (0.802, -0.000)
1498: (0.804, -0.000)
1499: (0.806, -0.000)
1500: (0.808, -0.000)
1501: (0.810, -0.000)
1502: (0.812, -0.000)
1503: (0.813, -0.000)
1504: (0.815, -0.000)
1505: (0.817, -0.000)
1506: (0.819, -0.000)
1507: (0.821, -0.000)
1508: (0.823, -0.000)
1509: (0.825, -0.000)
1510: (0.827, -0.000)
1511: (0.829, -0.000)
1512: (0.831, -0.000)
1513: (0.833, -0.000)
1514: (0.835, -0.000)
1515: (0.837, -0.000)
1516: (0.839, -0.000)
1517: (0.841, -0.000)
1518: (0.843, -0.000)
1519: (0.845, -0.000)
1520: (0.847, -0.000)
1521: (0.849, -0.000)
1522: (0.851, -0.000)
1523: (0.853, -0.000)
1524: (0.854, -0.000)
1525: (0.856, -0.000)
1526: (0.858, -0.000)
1527: (0.860, -0.000)
1528: (0.862, -0.000)
1529: (0.864, -0.000)
1530: (0.866, -0.000)
1531: (0.868, -0.000)
1532: (0.870, -0.000)
1533: (0.872, -0.000)
1534: (0.874, -0.000)
1535: (0.876, -0.000)
1536: (0.878, -0.000)
1537: (0.880, -0.000)
1538: (0.882, -0.000)
1539: (0.884, -0.000)
1540: (0.886, -0.000)
1541: (0.888, -0.000)
1542: (0.890, -0.000)
1543: (0.892, -0.000)
1544: (0.894, -0.000)
1545: (0.896, -0.000)
1546: (0.897, -0.000)
1547: (0.899, -0.000)
1548: (0.901, -0.000)
1549: (0.903, -0.000)
1550: (0.905, -0.000)
1551: (0.907, -0.000)
1552: (0.909, -0.000)
1553: (0.911, -0.000)
1554: (0.913, -0.000)
1555: (0.915, -0.000)
1556: (0.917, -0.000)
1557: (0.919, -0.000)
1558: (0.921, -0.000)
1559: (0.923, -0.000)
1560: (0.925, -0.000)
1561: (0.927, -0.000)
1562: (0.929, -0.000)
1563: (0.931, -0.000)
1564: (0.933, -0.000)
1565: (0.935, -0.000)
1566: (0.937, -0.000)
1567: (0.938, -0.000)
1568: (0.940, -0.000)
1569: (0.942, -0.000)
1570: (0.944, -0.000)
1571: (0.946, -0.000)
1572: (0.948, -0.000)
1573: (0.950, -0.000)
1574: (0.952, -0.000)
1575: (0.954, -0.000)
1576: (0.956, -0.000)
1577: (0.958, -0.000)
1578: (0.960, -0.000)
1579: (0.962, -0.000)
1580: (0.964, -0.000)
1581: (0.966, -0.000)
1582: (0.968, -0.000)
1583: (0.970, -0.000)
1584: (0.972, -0.000)
1585: (0.974, -0.000)
1586: (0.976, -0.000)
1587: (0.978, -0.000)
1588: (0.979, -0.000)
1589: (0.981, -0.000)
1590: (0.983, -0.000)
1591: (0.985, -0.000)
1592: (0.987, -0.000)
1593: (0.989, -0.000)
1594: (0.991, -0.000)
1595: (0.993, -0.000)
1596: (0.995, -0.000)
1597: (0.997, -0.000)
1598: (0.999, -0.000)
⊟Feature print (embedding)768-D · float
Fixed-length descriptor (image embedding). Used for similarity / dedup via cosine distance. Sparkline shows the first 64 of 768 dimensions.
first 8 values: 0.001,0.014,-0.063,0.034,-0.036,0.094,0.001,-0.039
{} Raw JSON 14 capability runs · on-device
Every Vision pass auge ran on this image. Click a file to see the full, un-truncated output (vector embeddings, full landmark points, every contour point — exactly what auge produced):
Wikimedia source
Marie Curie, c. 1920
attention 1 · 58%
face 1
faces 1920 Public Domain

Marie Curie, c. 1920

The only person ever to win Nobel Prizes in two different sciences. auge detects the face and classifies the studio portrait.

$ auge --all marie-curie.jpg
A OCR no text
No text detected in this image.
# Classify 10 labels
adult
89%
people
89%
clothing
19%
suit
18%
necktie
13%
art
9%
decoration
9%
jewelry
9%
military_uniform
3%
bowtie
2%
▦ Barcodes none
No barcodes or QR codes detected.
☻ Faces 1 detected
1 face located. Bounding boxes overlaid on the image above.
face 1: x=0.227 y=0.425 w=0.423 h=0.311
⨯Face landmarks1 face · 76 pts each
Per-face roll / yaw / pitch (head pose) and ~76 anchor points (eyes, brows, nose, lips, jawline, pupils). Points drawn on the image above.
face 1 — bbox=(0.224, 0.423, 0.426, 0.314) — pose not reported
faceContour 17 pts (1.037, 0.729), (1.029, 0.610), (1.012, 0.491), (0.983, 0.375), (0.925, 0.269), (0.837, 0.187), (0.733, 0.127), (0.620, 0.085), (0.500, 0.074), (0.404, 0.100), (0.328, 0.162), (0.264, 0.235), (0.216, 0.321), (0.187, 0.415), (0.167, 0.511), (0.157, 0.609), (0.155, 0.705)
innerLips 6 pts (0.438, 0.303), (0.485, 0.299), (0.549, 0.301), (0.548, 0.298), (0.484, 0.294), (0.437, 0.299)
leftEye 6 pts (0.259, 0.711), (0.301, 0.745), (0.371, 0.736), (0.408, 0.695), (0.362, 0.690), (0.299, 0.689)
leftEyebrow 6 pts (0.173, 0.776), (0.290, 0.823), (0.417, 0.804), (0.414, 0.759), (0.295, 0.773), (0.179, 0.749)
leftPupil 1 pt (0.330, 0.721)
medianLine 10 pts (0.478, 0.724), (0.471, 0.648), (0.464, 0.570), (0.457, 0.494), (0.474, 0.428), (0.483, 0.321), (0.485, 0.299), (0.484, 0.294), (0.485, 0.254), (0.500, 0.074)
nose 8 pts (0.471, 0.648), (0.407, 0.528), (0.401, 0.441), (0.438, 0.437), (0.474, 0.428), (0.525, 0.439), (0.578, 0.440), (0.576, 0.530)
noseCrest 6 pts (0.478, 0.724), (0.471, 0.648), (0.464, 0.570), (0.457, 0.494), (0.406, 0.476), (0.543, 0.484)
outerLips 14 pts (0.394, 0.317), (0.423, 0.325), (0.453, 0.329), (0.483, 0.321), (0.515, 0.328), (0.558, 0.320), (0.602, 0.309), (0.645, 0.300), (0.595, 0.276), (0.540, 0.260), (0.485, 0.254), (0.442, 0.260), (0.401, 0.278), (0.368, 0.303)
rightEye 6 pts (0.778, 0.721), (0.728, 0.753), (0.650, 0.744), (0.606, 0.700), (0.659, 0.696), (0.731, 0.696)
rightEyebrow 6 pts (0.862, 0.782), (0.706, 0.836), (0.542, 0.814), (0.549, 0.763), (0.703, 0.783), (0.856, 0.755)
rightPupil 1 pt (0.706, 0.731)
⌒Animals (cat/dog)0 detected
No cats or dogs detected by VNRecognizeAnimalsRequest. (The recognizer is conservative — paintings, distant or partial subjects often score below threshold.)
🐾Animal pose0 animals
No animal body poses detected.
⩎Body pose0 bodies
No human body poses detected.
✋Hand pose0 hands
No hands detected.
★Aesthetics0.765
memorable
overallScore range −1.00 utility → +1.00 memorable · 88.2% along scale
●Lens smudge0.10%
clean lens
confidence 0.0009756088256835938 · 0% clean · 100% smudged
◉Saliency · attention1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 57.6% confidence — bbox=(0.239, 0.369, 0.437, 0.453)
◉Saliency · objectness1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 87.7% confidence — bbox=(0.106, 0.000, 0.892, 0.926)
▱Quadrilaterals0 detected
No four-cornered shapes found.
▭Text regions0 detected
No text regions detected by the cheap probe.
⏤Horizonno horizon
No horizon line detected (no clear sky/ground separation).
∿Contours100 total · 1 top-level
Vector edge contours of detected shapes. 1 path drawn on the image above (sampled from top-level).
path 1 — 1778 points —
1: (1.000, 0.001) 2: (1.000, 0.003) 3: (1.000, 0.005) 4: (1.000, 0.007) 5: (1.000, 0.009) 6: (1.000, 0.011) 7: (1.000, 0.013) 8: (1.000, 0.015) 9: (1.000, 0.017) 10: (1.000, 0.019) 11: (1.000, 0.021) 12: (1.000, 0.022) 13: (1.000, 0.024) 14: (1.000, 0.026) 15: (1.000, 0.028) 16: (1.000, 0.030) 17: (1.000, 0.032) 18: (1.000, 0.034) 19: (1.000, 0.036) 20: (1.000, 0.038)
show all 1758 more points
21: (1.000, 0.040)
22: (1.000, 0.042)
23: (1.000, 0.044)
24: (1.000, 0.046)
25: (1.000, 0.048)
26: (1.000, 0.050)
27: (1.000, 0.052)
28: (1.000, 0.054)
29: (1.000, 0.056)
30: (1.000, 0.058)
31: (1.000, 0.060)
32: (1.000, 0.062)
33: (1.000, 0.063)
34: (1.000, 0.065)
35: (1.000, 0.067)
36: (1.000, 0.069)
37: (1.000, 0.071)
38: (1.000, 0.073)
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40: (1.000, 0.077)
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44: (1.000, 0.085)
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46: (1.000, 0.089)
47: (1.000, 0.091)
48: (1.000, 0.093)
49: (1.000, 0.095)
50: (1.000, 0.097)
51: (1.000, 0.099)
52: (1.000, 0.101)
53: (1.000, 0.103)
54: (1.000, 0.104)
55: (1.000, 0.106)
56: (1.000, 0.108)
57: (1.000, 0.110)
58: (1.000, 0.112)
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60: (1.000, 0.116)
61: (1.000, 0.118)
62: (1.000, 0.120)
63: (1.000, 0.122)
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66: (1.000, 0.128)
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70: (1.000, 0.136)
71: (1.000, 0.138)
72: (1.000, 0.140)
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91: (1.000, 0.177)
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93: (1.000, 0.181)
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114: (1.000, 0.222)
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118: (1.000, 0.229)
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120: (1.000, 0.233)
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124: (1.000, 0.241)
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174: (1.000, 0.339)
175: (1.000, 0.341)
176: (1.000, 0.343)
177: (1.000, 0.345)
178: (1.000, 0.347)
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180: (1.000, 0.351)
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182: (1.000, 0.354)
183: (1.000, 0.356)
184: (1.000, 0.358)
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186: (1.000, 0.362)
187: (1.000, 0.364)
188: (1.000, 0.366)
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190: (1.000, 0.370)
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192: (1.000, 0.374)
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194: (1.000, 0.378)
195: (1.000, 0.380)
196: (1.000, 0.382)
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198: (1.000, 0.386)
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203: (1.000, 0.396)
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216: (1.000, 0.421)
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218: (1.000, 0.425)
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224: (1.000, 0.437)
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233: (1.000, 0.454)
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236: (1.000, 0.460)
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262: (1.000, 0.511)
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272: (1.000, 0.530)
273: (1.000, 0.532)
274: (1.000, 0.534)
275: (1.000, 0.536)
276: (1.000, 0.538)
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278: (1.000, 0.542)
279: (1.000, 0.544)
280: (1.000, 0.546)
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⊟Feature print (embedding)768-D · float
Fixed-length descriptor (image embedding). Used for similarity / dedup via cosine distance. Sparkline shows the first 64 of 768 dimensions.
first 8 values: -0.004,-0.01,0.167,0.014,0.033,0.226,-0.011,0.002
{} Raw JSON 14 capability runs · on-device
Every Vision pass auge ran on this image. Click a file to see the full, un-truncated output (vector embeddings, full landmark points, every contour point — exactly what auge produced):
Wikimedia source
The Kiss - Gustav Klimt, Vienna 1908
attention 1 · 56%
classify 1908 Public Domain (Klimt died 1918)

The Kiss - Gustav Klimt, Vienna 1908

Klimt's gold-leaf masterpiece in the Belvedere, Vienna. A genuine challenge for Vision: heavy ornament, abstract gold, two faces partially visible.

$ auge --all klimt-kiss.jpg
A OCR 2 lines · 9 chars 
COS
Tot g
# Classify 10 labels
people
74%
adult
74%
clothing
33%
jeans
33%
structure
26%
wood_processed
26%
art
22%
painting
19%
machine
18%
consumer_electronics
18%
▦ Barcodes none
No barcodes or QR codes detected.
☻ Faces 0 detected
No faces detected.
⨯Face landmarks0 faces
No faces detected, so no landmarks.
⌒Animals (cat/dog)0 detected
No cats or dogs detected by VNRecognizeAnimalsRequest. (The recognizer is conservative — paintings, distant or partial subjects often score below threshold.)
🐾Animal pose0 animals
No animal body poses detected.
⩎Body pose0 bodies
No human body poses detected.
✋Hand pose1 hand
21 keypoints per hand (wrist + 4 per finger × 5 fingers). Chirality reported per hand. Per-hand skeleton + every joint with full (x, y, confidence) below.
hand 1 — 21 joints — avg confidence 13.3% (of 12 confident joints: 23.2%)
index 4 joints VNHLKIDIP (1.000, 0.499) c=0.15 VNHLKIMCP (0.915, 0.437) c=0.42 VNHLKIPIP (0.980, 0.503) c=0.18 VNHLKITIP (1.001, 0.509) c=0.13
middle 4 joints VNHLKMDIP (1.000, 0.498) c=0.13 VNHLKMMCP (0.952, 0.424) c=0.12 VNHLKMPIP (0.989, 0.504) c=0.13 VNHLKMTIP (0.758, 0.528) c=0.00
pinky 4 joints VNHLKPDIP (0.758, 0.528) c=0.00 VNHLKPMCP (0.758, 0.528) c=0.00 VNHLKPPIP (0.758, 0.528) c=0.00 VNHLKPTIP (0.758, 0.528) c=0.00
ring 4 joints VNHLKRDIP (0.758, 0.528) c=0.00 VNHLKRMCP (0.758, 0.528) c=0.00 VNHLKRPIP (0.758, 0.528) c=0.00 VNHLKRTIP (0.758, 0.528) c=0.00
thumb 4 joints VNHLKTCMC (0.908, 0.375) c=0.33 VNHLKTIP (0.963, 0.454) c=0.23 VNHLKTMP (0.918, 0.421) c=0.14 VNHLKTTIP (0.997, 0.504) c=0.19
wrist 1 joint VNHLKWRI (0.924, 0.327) c=0.64
★Aesthetics0.285
memorable
overallScore range −1.00 utility → +1.00 memorable · 64.3% along scale
●Lens smudge100.00%
smudged
confidence 1 · 0% clean · 100% smudged
◉Saliency · attention1 region
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 56.0% confidence — bbox=(0.000, 0.287, 0.773, 0.610)
◉Saliency · objectness2 regions
Where Apple Vision says the eye lands first. Boxes drawn on the image above.
region 1 — 30.6% confidence — bbox=(0.001, 0.028, 0.166, 0.239)
region 2 — 65.1% confidence — bbox=(0.268, 0.265, 0.675, 0.620)
▱Quadrilaterals2 detected
2 four-cornered shapes — paper, screens, signs. Outlined on the image above.
rect 1 — 100.0% confidence — corners tl(0.038,0.892) tr(0.945,0.865) bl(0.018,0.501) br(0.956,0.519)
rect 2 — 100.0% confidence — corners tl(0.156,0.787) tr(0.827,0.772) bl(0.151,0.446) br(0.831,0.322)
▭Text regions2 detected
Lightweight text-region detector (just bounding boxes — no recognition). Boxes drawn on the image above.
region 1 — 100.0% confidence — bbox=(0.427, 0.453, 0.020, 0.018)
region 2 — 100.0% confidence — bbox=(0.010, 0.300, 0.091, 0.020)
⏤Horizon1.87°
1.87° slight tilt
0.0327 rad · red line drawn on image above · the small preview is rotated by -1.88° to make the horizon level.
rotated to level horizon
corrected (rotated by -1.88°) — the red dotted line is true horizontal.
∿Contours250 total · 5 top-level
Vector edge contours of detected shapes. 5 paths drawn on the image above (sampled from top-level).
path 1 — 4 points —
1: (0.005, 0.726) 2: (0.004, 0.726) 3: (0.003, 0.726) 4: (0.004, 0.725)
path 2 — 4 points —
1: (0.010, 0.712) 2: (0.009, 0.714) 3: (0.008, 0.712) 4: (0.009, 0.711)
path 3 — 6 points —
1: (0.016, 0.708) 2: (0.016, 0.710) 3: (0.014, 0.711) 4: (0.012, 0.710) 5: (0.013, 0.708) 6: (0.014, 0.707)
path 4 — 2259 points —
1: (1.000, 0.001) 2: (1.000, 0.003) 3: (1.000, 0.005) 4: (1.000, 0.007) 5: (1.000, 0.009) 6: (1.000, 0.011) 7: (1.000, 0.013) 8: (1.000, 0.015) 9: (1.000, 0.017) 10: (1.000, 0.019) 11: (1.000, 0.021) 12: (1.000, 0.022) 13: (1.000, 0.024) 14: (1.000, 0.026) 15: (1.000, 0.028) 16: (1.000, 0.030) 17: (1.000, 0.032) 18: (1.000, 0.034) 19: (1.000, 0.036) 20: (1.000, 0.038)
show all 2239 more points
21: (1.000, 0.040)
22: (1.000, 0.042)
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24: (1.000, 0.046)
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1363: (0.026, 0.894)
1364: (0.026, 0.892)
1365: (0.026, 0.890)
1366: (0.026, 0.888)
1367: (0.026, 0.886)
1368: (0.026, 0.884)
1369: (0.026, 0.882)
1370: (0.026, 0.880)
1371: (0.026, 0.878)
1372: (0.026, 0.876)
1373: (0.026, 0.874)
1374: (0.026, 0.872)
1375: (0.026, 0.870)
1376: (0.026, 0.868)
1377: (0.026, 0.866)
1378: (0.026, 0.864)
1379: (0.026, 0.862)
1380: (0.025, 0.860)
1381: (0.026, 0.858)
1382: (0.026, 0.856)
1383: (0.025, 0.854)
1384: (0.026, 0.853)
1385: (0.025, 0.851)
1386: (0.025, 0.849)
1387: (0.025, 0.847)
1388: (0.025, 0.845)
1389: (0.025, 0.843)
1390: (0.025, 0.841)
1391: (0.025, 0.839)
1392: (0.025, 0.837)
1393: (0.025, 0.835)
1394: (0.025, 0.833)
1395: (0.025, 0.831)
1396: (0.025, 0.829)
1397: (0.025, 0.827)
1398: (0.025, 0.825)
1399: (0.025, 0.823)
1400: (0.025, 0.821)
1401: (0.025, 0.820)
1402: (0.024, 0.819)
1403: (0.025, 0.818)
1404: (0.025, 0.817)
1405: (0.024, 0.815)
1406: (0.024, 0.813)
1407: (0.024, 0.812)
1408: (0.024, 0.810)
1409: (0.023, 0.808)
1410: (0.023, 0.806)
1411: (0.023, 0.804)
1412: (0.023, 0.802)
1413: (0.023, 0.800)
1414: (0.023, 0.798)
1415: (0.023, 0.796)
1416: (0.023, 0.794)
1417: (0.023, 0.792)
1418: (0.023, 0.790)
1419: (0.022, 0.788)
1420: (0.022, 0.786)
1421: (0.022, 0.785)
1422: (0.020, 0.785)
1423: (0.022, 0.783)
1424: (0.022, 0.782)
1425: (0.022, 0.780)
1426: (0.022, 0.778)
1427: (0.023, 0.776)
1428: (0.022, 0.774)
1429: (0.022, 0.772)
1430: (0.022, 0.771)
1431: (0.022, 0.769)
1432: (0.022, 0.767)
1433: (0.021, 0.767)
1434: (0.022, 0.766)
1435: (0.022, 0.765)
1436: (0.022, 0.763)
1437: (0.022, 0.762)
1438: (0.021, 0.761)
1439: (0.021, 0.759)
1440: (0.020, 0.757)
1441: (0.021, 0.755)
1442: (0.021, 0.753)
1443: (0.021, 0.751)
1444: (0.020, 0.749)
1445: (0.020, 0.747)
1446: (0.020, 0.745)
1447: (0.021, 0.743)
1448: (0.020, 0.741)
1449: (0.021, 0.739)
1450: (0.020, 0.737)
1451: (0.020, 0.735)
1452: (0.020, 0.733)
1453: (0.020, 0.731)
1454: (0.020, 0.729)
1455: (0.020, 0.728)
1456: (0.020, 0.726)
1457: (0.020, 0.724)
1458: (0.020, 0.722)
1459: (0.020, 0.720)
1460: (0.020, 0.718)
1461: (0.020, 0.716)
1462: (0.020, 0.714)
1463: (0.020, 0.712)
1464: (0.020, 0.710)
1465: (0.020, 0.708)
1466: (0.020, 0.706)
1467: (0.020, 0.704)
1468: (0.020, 0.702)
1469: (0.020, 0.700)
1470: (0.020, 0.698)
1471: (0.020, 0.696)
1472: (0.018, 0.698)
1473: (0.017, 0.700)
1474: (0.014, 0.700)
1475: (0.014, 0.700)
1476: (0.012, 0.702)
1477: (0.014, 0.703)
1478: (0.017, 0.704)
1479: (0.014, 0.705)
1480: (0.012, 0.706)
1481: (0.009, 0.706)
1482: (0.009, 0.708)
1483: (0.007, 0.710)
1484: (0.004, 0.710)
1485: (0.001, 0.710)
1486: (0.004, 0.708)
1487: (0.005, 0.706)
1488: (0.006, 0.704)
1489: (0.009, 0.706)
1490: (0.011, 0.704)
1491: (0.009, 0.703)
1492: (0.008, 0.702)
1493: (0.007, 0.701)
1494: (0.004, 0.701)
1495: (0.002, 0.700)
1496: (0.001, 0.699)
1497: (0.004, 0.697)
1498: (0.007, 0.697)
1499: (0.008, 0.698)
1500: (0.009, 0.700)
1501: (0.010, 0.698)
1502: (0.012, 0.698)
1503: (0.014, 0.696)
1504: (0.012, 0.694)
1505: (0.012, 0.693)
1506: (0.009, 0.693)
1507: (0.007, 0.694)
1508: (0.005, 0.692)
1509: (0.004, 0.691)
1510: (0.001, 0.692)
1511: (0.001, 0.690)
1512: (0.001, 0.688)
1513: (0.001, 0.687)
1514: (0.001, 0.685)
1515: (0.001, 0.683)
1516: (0.003, 0.685)
1517: (0.004, 0.686)
1518: (0.005, 0.685)
1519: (0.005, 0.683)
1520: (0.007, 0.681)
1521: (0.009, 0.681)
1522: (0.007, 0.679)
1523: (0.004, 0.681)
1524: (0.001, 0.682)
1525: (0.001, 0.681)
1526: (0.001, 0.679)
1527: (0.001, 0.677)
1528: (0.001, 0.675)
1529: (0.001, 0.673)
1530: (0.001, 0.671)
1531: (0.001, 0.669)
1532: (0.001, 0.667)
1533: (0.001, 0.665)
1534: (0.001, 0.663)
1535: (0.001, 0.661)
1536: (0.001, 0.659)
1537: (0.001, 0.657)
1538: (0.001, 0.655)
1539: (0.001, 0.653)
1540: (0.001, 0.651)
1541: (0.001, 0.649)
1542: (0.001, 0.647)
1543: (0.001, 0.646)
1544: (0.001, 0.644)
1545: (0.001, 0.642)
1546: (0.001, 0.640)
1547: (0.001, 0.638)
1548: (0.001, 0.636)
1549: (0.001, 0.634)
1550: (0.001, 0.632)
1551: (0.001, 0.630)
1552: (0.001, 0.628)
1553: (0.001, 0.626)
1554: (0.001, 0.624)
1555: (0.001, 0.622)
1556: (0.001, 0.620)
1557: (0.001, 0.618)
1558: (0.001, 0.616)
1559: (0.001, 0.614)
1560: (0.001, 0.612)
1561: (0.001, 0.610)
1562: (0.001, 0.608)
1563: (0.001, 0.606)
1564: (0.001, 0.604)
1565: (0.001, 0.603)
1566: (0.001, 0.601)
1567: (0.001, 0.599)
1568: (0.001, 0.597)
1569: (0.001, 0.595)
1570: (0.001, 0.593)
1571: (0.001, 0.591)
1572: (0.001, 0.589)
1573: (0.001, 0.587)
1574: (0.001, 0.585)
1575: (0.001, 0.583)
1576: (0.001, 0.581)
1577: (0.001, 0.579)
1578: (0.001, 0.577)
1579: (0.001, 0.575)
1580: (0.001, 0.573)
1581: (0.001, 0.571)
1582: (0.001, 0.569)
1583: (0.001, 0.567)
1584: (0.001, 0.565)
1585: (0.001, 0.563)
1586: (0.001, 0.562)
1587: (0.001, 0.560)
1588: (0.001, 0.558)
1589: (0.001, 0.556)
1590: (0.001, 0.554)
1591: (0.001, 0.552)
1592: (0.001, 0.550)
1593: (0.001, 0.548)
1594: (0.001, 0.546)
1595: (0.001, 0.544)
1596: (0.001, 0.542)
1597: (0.001, 0.540)
1598: (0.001, 0.538)
1599: (0.001, 0.536)
1600: (0.001, 0.534)
1601: (0.001, 0.532)
1602: (0.001, 0.530)
1603: (0.001, 0.528)
1604: (0.001, 0.526)
1605: (0.001, 0.524)
1606: (0.001, 0.522)
1607: (0.001, 0.521)
1608: (0.001, 0.519)
1609: (0.001, 0.517)
1610: (0.001, 0.515)
1611: (0.001, 0.513)
1612: (0.001, 0.511)
1613: (0.001, 0.509)
1614: (0.001, 0.507)
1615: (0.001, 0.505)
1616: (0.001, 0.503)
1617: (0.001, 0.501)
1618: (0.001, 0.499)
1619: (0.001, 0.497)
1620: (0.001, 0.495)
1621: (0.001, 0.493)
1622: (0.001, 0.491)
1623: (0.001, 0.489)
1624: (0.000, 0.487)
1625: (0.000, 0.485)
1626: (0.000, 0.483)
1627: (0.000, 0.481)
1628: (0.000, 0.479)
1629: (0.000, 0.478)
1630: (0.000, 0.476)
1631: (0.000, 0.474)
1632: (0.000, 0.472)
1633: (0.000, 0.470)
1634: (0.000, 0.468)
1635: (0.000, 0.466)
1636: (0.000, 0.464)
1637: (0.000, 0.462)
1638: (0.000, 0.460)
1639: (0.000, 0.458)
1640: (0.000, 0.456)
1641: (0.000, 0.454)
1642: (0.000, 0.452)
1643: (0.000, 0.450)
1644: (0.000, 0.448)
1645: (0.000, 0.446)
1646: (0.000, 0.444)
1647: (0.000, 0.442)
1648: (0.000, 0.440)
1649: (0.000, 0.438)
1650: (0.000, 0.437)
1651: (0.000, 0.435)
1652: (0.000, 0.433)
1653: (0.000, 0.431)
1654: (0.000, 0.429)
1655: (0.000, 0.427)
1656: (0.000, 0.425)
1657: (0.000, 0.423)
1658: (0.000, 0.421)
1659: (0.000, 0.419)
1660: (0.000, 0.417)
1661: (0.000, 0.415)
1662: (0.000, 0.413)
1663: (0.000, 0.411)
1664: (0.000, 0.409)
1665: (0.000, 0.407)
1666: (0.000, 0.405)
1667: (0.000, 0.403)
1668: (0.000, 0.401)
1669: (0.000, 0.399)
1670: (0.000, 0.397)
1671: (0.000, 0.396)
1672: (0.000, 0.394)
1673: (0.000, 0.392)
1674: (0.000, 0.390)
1675: (0.000, 0.388)
1676: (0.000, 0.386)
1677: (0.000, 0.384)
1678: (0.000, 0.382)
1679: (0.000, 0.380)
1680: (0.000, 0.378)
1681: (0.000, 0.376)
1682: (0.000, 0.374)
1683: (0.000, 0.372)
1684: (0.000, 0.370)
1685: (0.001, 0.368)
1686: (0.001, 0.366)
1687: (0.001, 0.364)
1688: (0.001, 0.362)
1689: (0.001, 0.360)
1690: (0.001, 0.359)
1691: (0.004, 0.357)
1692: (0.005, 0.356)
1693: (0.005, 0.354)
1694: (0.006, 0.353)
1695: (0.005, 0.351)
1696: (0.004, 0.350)
1697: (0.001, 0.349)
1698: (0.000, 0.347)
1699: (0.000, 0.345)
1700: (0.000, 0.343)
1701: (0.000, 0.341)
1702: (0.000, 0.339)
1703: (0.000, 0.337)
1704: (0.000, 0.335)
1705: (0.000, 0.333)
1706: (0.000, 0.331)
1707: (0.000, 0.329)
1708: (0.000, 0.327)
1709: (0.000, 0.325)
1710: (0.000, 0.323)
1711: (0.000, 0.321)
1712: (0.000, 0.319)
1713: (0.000, 0.317)
1714: (0.000, 0.315)
1715: (0.000, 0.313)
1716: (0.000, 0.312)
1717: (0.000, 0.310)
1718: (0.000, 0.308)
1719: (0.000, 0.306)
1720: (0.000, 0.304)
1721: (0.000, 0.302)
1722: (0.000, 0.300)
1723: (0.000, 0.298)
1724: (0.000, 0.296)
1725: (0.000, 0.294)
1726: (0.000, 0.292)
1727: (0.000, 0.290)
1728: (0.000, 0.288)
1729: (0.000, 0.286)
1730: (0.000, 0.284)
1731: (0.000, 0.282)
1732: (0.000, 0.280)
1733: (0.000, 0.278)
1734: (0.000, 0.276)
1735: (0.000, 0.274)
1736: (0.000, 0.272)
1737: (0.000, 0.271)
1738: (0.000, 0.269)
1739: (0.000, 0.267)
1740: (0.000, 0.265)
1741: (0.000, 0.263)
1742: (0.000, 0.261)
1743: (0.000, 0.259)
1744: (0.000, 0.257)
1745: (0.000, 0.255)
1746: (0.000, 0.253)
1747: (0.000, 0.251)
1748: (0.000, 0.249)
1749: (0.000, 0.247)
1750: (0.000, 0.245)
1751: (0.000, 0.243)
1752: (0.000, 0.241)
1753: (0.000, 0.239)
1754: (0.000, 0.237)
1755: (0.000, 0.235)
1756: (0.000, 0.233)
1757: (0.000, 0.231)
1758: (0.000, 0.229)
1759: (0.000, 0.228)
1760: (0.000, 0.226)
1761: (0.000, 0.224)
1762: (0.000, 0.222)
1763: (0.000, 0.220)
1764: (0.000, 0.218)
1765: (0.000, 0.216)
1766: (0.000, 0.214)
1767: (0.000, 0.212)
1768: (0.000, 0.210)
1769: (0.000, 0.208)
1770: (0.000, 0.206)
1771: (0.000, 0.204)
1772: (0.000, 0.202)
1773: (0.000, 0.200)
1774: (0.000, 0.198)
1775: (0.000, 0.196)
1776: (0.000, 0.194)
1777: (0.000, 0.192)
1778: (0.000, 0.190)
1779: (0.000, 0.188)
1780: (0.000, 0.187)
1781: (0.000, 0.185)
1782: (0.000, 0.183)
1783: (0.000, 0.181)
1784: (0.000, 0.179)
1785: (0.000, 0.177)
1786: (0.000, 0.175)
1787: (0.000, 0.173)
1788: (0.000, 0.171)
1789: (0.000, 0.169)
1790: (0.000, 0.167)
1791: (0.000, 0.165)
1792: (0.000, 0.163)
1793: (0.000, 0.161)
1794: (0.000, 0.159)
1795: (0.000, 0.157)
1796: (0.000, 0.155)
1797: (0.000, 0.153)
1798: (0.000, 0.151)
1799: (0.000, 0.149)
1800: (0.000, 0.147)
1801: (0.000, 0.146)
1802: (0.000, 0.144)
1803: (0.000, 0.142)
1804: (0.000, 0.140)
1805: (0.000, 0.138)
1806: (0.000, 0.136)
1807: (0.000, 0.134)
1808: (0.000, 0.132)
1809: (0.000, 0.130)
1810: (0.000, 0.128)
1811: (0.000, 0.126)
1812: (0.000, 0.124)
1813: (0.000, 0.122)
1814: (0.000, 0.120)
1815: (0.000, 0.118)
1816: (0.000, 0.116)
1817: (0.000, 0.114)
1818: (0.000, 0.112)
1819: (0.000, 0.110)
1820: (0.000, 0.108)
1821: (0.000, 0.106)
1822: (0.000, 0.104)
1823: (0.000, 0.103)
1824: (0.000, 0.101)
1825: (0.000, 0.099)
1826: (0.000, 0.097)
1827: (0.000, 0.095)
1828: (0.000, 0.093)
1829: (0.000, 0.091)
1830: (0.000, 0.089)
1831: (0.000, 0.087)
1832: (0.000, 0.085)
1833: (0.000, 0.083)
1834: (0.000, 0.081)
1835: (0.000, 0.079)
1836: (0.000, 0.077)
1837: (0.000, 0.075)
1838: (0.000, 0.073)
1839: (0.000, 0.071)
1840: (0.000, 0.069)
1841: (0.000, 0.067)
1842: (0.000, 0.065)
1843: (0.000, 0.063)
1844: (0.000, 0.062)
1845: (0.000, 0.060)
1846: (0.000, 0.058)
1847: (0.000, 0.056)
1848: (0.000, 0.054)
1849: (0.000, 0.052)
1850: (0.000, 0.050)
1851: (0.000, 0.048)
1852: (0.000, 0.046)
1853: (0.000, 0.044)
1854: (0.000, 0.042)
1855: (0.000, 0.040)
1856: (0.000, 0.038)
1857: (0.000, 0.036)
1858: (0.000, 0.034)
1859: (0.000, 0.032)
1860: (0.000, 0.030)
1861: (0.000, 0.028)
1862: (0.000, 0.026)
1863: (0.000, 0.024)
1864: (0.000, 0.022)
1865: (0.000, 0.021)
1866: (0.000, 0.019)
1867: (0.000, 0.017)
1868: (0.000, 0.015)
1869: (0.000, 0.013)
1870: (0.000, 0.011)
1871: (0.000, 0.009)
1872: (0.000, 0.007)
1873: (0.000, 0.005)
1874: (0.000, 0.003)
1875: (0.000, 0.001)
1876: (0.001, 0.000)
1877: (0.004, 0.000)
1878: (0.007, 0.000)
1879: (0.009, 0.000)
1880: (0.012, 0.000)
1881: (0.014, 0.000)
1882: (0.017, 0.000)
1883: (0.020, 0.000)
1884: (0.022, 0.000)
1885: (0.025, 0.000)
1886: (0.027, 0.000)
1887: (0.030, 0.000)
1888: (0.033, 0.000)
1889: (0.035, 0.000)
1890: (0.038, 0.000)
1891: (0.040, 0.000)
1892: (0.043, 0.000)
1893: (0.046, 0.000)
1894: (0.048, 0.000)
1895: (0.051, 0.000)
1896: (0.053, 0.000)
1897: (0.056, 0.000)
1898: (0.059, 0.000)
1899: (0.061, 0.000)
1900: (0.064, 0.000)
1901: (0.066, 0.000)
1902: (0.069, 0.000)
1903: (0.072, 0.000)
1904: (0.074, 0.000)
1905: (0.077, 0.000)
1906: (0.079, 0.000)
1907: (0.082, 0.000)
1908: (0.085, 0.000)
1909: (0.087, 0.000)
1910: (0.090, 0.000)
1911: (0.092, 0.000)
1912: (0.095, 0.000)
1913: (0.098, 0.000)
1914: (0.100, 0.000)
1915: (0.103, 0.000)
1916: (0.105, 0.000)
1917: (0.108, 0.000)
1918: (0.111, 0.000)
1919: (0.113, 0.000)
1920: (0.116, 0.000)
1921: (0.118, 0.000)
1922: (0.121, 0.000)
1923: (0.124, 0.000)
1924: (0.126, 0.000)
1925: (0.129, 0.000)
1926: (0.132, 0.000)
1927: (0.134, 0.000)
1928: (0.137, 0.000)
1929: (0.139, 0.000)
1930: (0.142, 0.000)
1931: (0.145, 0.000)
1932: (0.147, 0.000)
1933: (0.150, 0.000)
1934: (0.152, 0.000)
1935: (0.155, 0.000)
1936: (0.158, 0.000)
1937: (0.160, 0.000)
1938: (0.163, 0.000)
1939: (0.165, 0.000)
1940: (0.168, 0.000)
1941: (0.171, 0.000)
1942: (0.173, 0.000)
1943: (0.176, 0.000)
1944: (0.178, 0.000)
1945: (0.181, 0.000)
1946: (0.184, 0.000)
1947: (0.186, 0.000)
1948: (0.189, 0.000)
1949: (0.191, 0.000)
1950: (0.194, 0.000)
1951: (0.197, 0.000)
1952: (0.199, 0.000)
1953: (0.202, 0.000)
1954: (0.204, 0.000)
1955: (0.207, 0.000)
1956: (0.210, 0.000)
1957: (0.212, 0.000)
1958: (0.215, 0.000)
1959: (0.217, 0.000)
1960: (0.220, 0.000)
1961: (0.223, 0.000)
1962: (0.225, 0.000)
1963: (0.228, 0.000)
1964: (0.230, 0.000)
1965: (0.233, 0.000)
1966: (0.236, 0.000)
1967: (0.238, 0.000)
1968: (0.241, 0.000)
1969: (0.243, 0.000)
1970: (0.246, 0.000)
1971: (0.249, 0.000)
1972: (0.251, 0.000)
1973: (0.254, 0.000)
1974: (0.257, 0.000)
1975: (0.259, 0.000)
1976: (0.262, 0.000)
1977: (0.264, 0.000)
1978: (0.267, 0.000)
1979: (0.270, 0.000)
1980: (0.272, 0.000)
1981: (0.275, 0.000)
1982: (0.277, 0.000)
1983: (0.280, 0.000)
1984: (0.283, 0.000)
1985: (0.285, 0.000)
1986: (0.288, 0.000)
1987: (0.290, 0.000)
1988: (0.293, 0.000)
1989: (0.296, 0.000)
1990: (0.298, 0.000)
1991: (0.301, 0.000)
1992: (0.303, 0.000)
1993: (0.306, 0.000)
1994: (0.309, 0.000)
1995: (0.311, 0.000)
1996: (0.314, 0.000)
1997: (0.316, 0.000)
1998: (0.319, 0.000)
1999: (0.322, 0.000)
2000: (0.324, 0.000)
2001: (0.327, 0.000)
2002: (0.329, 0.000)
2003: (0.332, 0.000)
2004: (0.335, 0.000)
2005: (0.337, 0.000)
2006: (0.340, 0.000)
2007: (0.342, 0.000)
2008: (0.345, 0.000)
2009: (0.348, 0.000)
2010: (0.350, 0.000)
2011: (0.353, 0.000)
2012: (0.355, 0.000)
2013: (0.358, 0.000)
2014: (0.361, 0.000)
2015: (0.363, 0.000)
2016: (0.366, 0.000)
2017: (0.368, 0.000)
2018: (0.371, 0.000)
2019: (0.374, 0.000)
2020: (0.376, 0.000)
2021: (0.379, 0.000)
2022: (0.382, 0.000)
2023: (0.384, 0.000)
2024: (0.387, 0.000)
2025: (0.389, 0.000)
2026: (0.392, 0.000)
2027: (0.395, 0.000)
2028: (0.397, 0.000)
2029: (0.400, 0.000)
2030: (0.402, 0.000)
2031: (0.405, 0.000)
2032: (0.408, 0.000)
2033: (0.410, 0.000)
2034: (0.413, 0.000)
2035: (0.415, 0.000)
2036: (0.418, 0.000)
2037: (0.421, 0.000)
2038: (0.423, 0.000)
2039: (0.426, 0.000)
2040: (0.428, 0.000)
2041: (0.431, 0.000)
2042: (0.434, 0.000)
2043: (0.436, 0.000)
2044: (0.439, 0.000)
2045: (0.441, 0.000)
2046: (0.444, 0.000)
2047: (0.447, 0.000)
2048: (0.449, 0.000)
2049: (0.452, 0.000)
2050: (0.454, 0.000)
2051: (0.457, 0.000)
2052: (0.460, 0.000)
2053: (0.462, 0.000)
2054: (0.465, 0.000)
2055: (0.467, 0.000)
2056: (0.470, 0.000)
2057: (0.473, 0.000)
2058: (0.475, 0.000)
2059: (0.478, 0.000)
2060: (0.480, 0.000)
2061: (0.483, 0.000)
2062: (0.486, 0.000)
2063: (0.488, 0.000)
2064: (0.491, 0.000)
2065: (0.493, 0.000)
2066: (0.496, 0.000)
2067: (0.499, 0.000)
2068: (0.501, 0.000)
2069: (0.504, 0.000)
2070: (0.507, 0.000)
2071: (0.509, 0.000)
2072: (0.512, 0.000)
2073: (0.514, 0.000)
2074: (0.517, 0.000)
2075: (0.520, 0.000)
2076: (0.522, 0.000)
2077: (0.525, 0.000)
2078: (0.527, 0.000)
2079: (0.530, 0.000)
2080: (0.533, 0.000)
2081: (0.535, 0.000)
2082: (0.538, 0.000)
2083: (0.540, 0.000)
2084: (0.543, 0.000)
2085: (0.546, 0.000)
2086: (0.548, 0.000)
2087: (0.551, 0.000)
2088: (0.553, 0.000)
2089: (0.556, 0.000)
2090: (0.559, 0.000)
2091: (0.561, 0.000)
2092: (0.564, 0.000)
2093: (0.566, 0.000)
2094: (0.569, 0.000)
2095: (0.572, 0.000)
2096: (0.574, 0.000)
2097: (0.577, 0.000)
2098: (0.579, 0.000)
2099: (0.582, 0.000)
2100: (0.585, 0.000)
2101: (0.587, 0.000)
2102: (0.590, 0.000)
2103: (0.592, 0.000)
2104: (0.595, 0.000)
2105: (0.598, 0.000)
2106: (0.600, 0.000)
2107: (0.603, 0.000)
2108: (0.605, 0.000)
2109: (0.608, 0.000)
2110: (0.611, 0.000)
2111: (0.613, 0.000)
2112: (0.616, 0.000)
2113: (0.618, 0.000)
2114: (0.621, 0.000)
2115: (0.624, 0.000)
2116: (0.626, 0.000)
2117: (0.629, 0.000)
2118: (0.632, 0.000)
2119: (0.634, 0.000)
2120: (0.637, 0.000)
2121: (0.639, 0.000)
2122: (0.642, 0.000)
2123: (0.645, 0.000)
2124: (0.647, 0.000)
2125: (0.650, 0.000)
2126: (0.652, 0.000)
2127: (0.655, 0.000)
2128: (0.658, 0.000)
2129: (0.660, 0.000)
2130: (0.663, 0.000)
2131: (0.665, 0.000)
2132: (0.668, 0.000)
2133: (0.671, 0.000)
2134: (0.673, 0.000)
2135: (0.676, 0.000)
2136: (0.678, 0.000)
2137: (0.681, 0.000)
2138: (0.684, 0.000)
2139: (0.686, 0.000)
2140: (0.689, 0.000)
2141: (0.691, 0.000)
2142: (0.694, 0.000)
2143: (0.697, 0.000)
2144: (0.699, 0.000)
2145: (0.702, 0.000)
2146: (0.704, 0.000)
2147: (0.707, 0.000)
2148: (0.710, 0.000)
2149: (0.712, 0.000)
2150: (0.715, 0.000)
2151: (0.717, 0.000)
2152: (0.720, 0.000)
2153: (0.723, 0.000)
2154: (0.725, 0.000)
2155: (0.728, 0.000)
2156: (0.730, 0.000)
2157: (0.733, 0.000)
2158: (0.736, 0.000)
2159: (0.738, 0.000)
2160: (0.741, 0.000)
2161: (0.743, 0.000)
2162: (0.746, 0.000)
2163: (0.749, 0.000)
2164: (0.751, 0.000)
2165: (0.754, 0.000)
2166: (0.757, 0.000)
2167: (0.759, 0.000)
2168: (0.762, 0.000)
2169: (0.764, 0.000)
2170: (0.767, 0.000)
2171: (0.770, 0.000)
2172: (0.772, 0.000)
2173: (0.775, 0.000)
2174: (0.777, 0.000)
2175: (0.780, 0.000)
2176: (0.783, 0.000)
2177: (0.785, 0.000)
2178: (0.788, 0.000)
2179: (0.790, 0.000)
2180: (0.793, 0.000)
2181: (0.796, 0.000)
2182: (0.798, 0.000)
2183: (0.801, 0.000)
2184: (0.803, 0.000)
2185: (0.806, 0.000)
2186: (0.809, 0.000)
2187: (0.811, 0.000)
2188: (0.814, 0.000)
2189: (0.816, 0.000)
2190: (0.819, 0.000)
2191: (0.822, 0.000)
2192: (0.824, 0.000)
2193: (0.827, 0.000)
2194: (0.829, 0.000)
2195: (0.832, 0.000)
2196: (0.835, 0.000)
2197: (0.837, 0.000)
2198: (0.840, 0.000)
2199: (0.842, 0.000)
2200: (0.845, 0.000)
2201: (0.848, 0.000)
2202: (0.850, 0.000)
2203: (0.853, 0.000)
2204: (0.855, 0.000)
2205: (0.858, 0.000)
2206: (0.861, 0.000)
2207: (0.863, 0.000)
2208: (0.866, 0.000)
2209: (0.868, 0.000)
2210: (0.871, 0.000)
2211: (0.874, 0.000)
2212: (0.876, 0.000)
2213: (0.879, 0.000)
2214: (0.882, 0.000)
2215: (0.884, 0.000)
2216: (0.887, 0.000)
2217: (0.889, 0.000)
2218: (0.892, 0.000)
2219: (0.895, 0.000)
2220: (0.897, 0.000)
2221: (0.900, 0.000)
2222: (0.902, 0.000)
2223: (0.905, 0.000)
2224: (0.908, 0.000)
2225: (0.910, 0.000)
2226: (0.913, 0.000)
2227: (0.915, 0.000)
2228: (0.918, 0.000)
2229: (0.921, 0.000)
2230: (0.923, 0.000)
2231: (0.926, 0.000)
2232: (0.928, 0.000)
2233: (0.931, 0.000)
2234: (0.934, 0.000)
2235: (0.936, 0.000)
2236: (0.939, 0.000)
2237: (0.941, 0.000)
2238: (0.944, 0.000)
2239: (0.947, 0.000)
2240: (0.949, 0.000)
2241: (0.952, 0.000)
2242: (0.954, 0.000)
2243: (0.957, 0.000)
2244: (0.960, 0.000)
2245: (0.962, 0.000)
2246: (0.965, 0.000)
2247: (0.967, 0.000)
2248: (0.970, 0.000)
2249: (0.973, 0.000)
2250: (0.975, 0.000)
2251: (0.978, 0.000)
2252: (0.980, 0.000)
2253: (0.983, 0.000)
2254: (0.986, 0.000)
2255: (0.988, 0.000)
2256: (0.991, 0.000)
2257: (0.993, 0.000)
2258: (0.996, 0.000)
2259: (0.999, 0.000)
path 5 — 4 points —
1: (0.891, 0.325) 2: (0.889, 0.326) 3: (0.888, 0.325) 4: (0.889, 0.325)
⊟Feature print (embedding)768-D · float
Fixed-length descriptor (image embedding). Used for similarity / dedup via cosine distance. Sparkline shows the first 64 of 768 dimensions.
first 8 values: 0.004,-0.041,0.06,0.068,0.022,0.061,-0.016,0.027
{} Raw JSON 14 capability runs · on-device
Every Vision pass auge ran on this image. Click a file to see the full, un-truncated output (vector embeddings, full landmark points, every contour point — exactly what auge produced):
Wikimedia source
EAN-13 supermarket barcode