Machine Generated Data
Tags
Amazon
created on 2022-01-30
Clarifai
created on 2023-10-29
Imagga
created on 2022-01-30
mug shot | 100 | |
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photograph | 100 | |
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representation | 83 | |
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creation | 57.5 | |
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old | 22.3 | |
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money | 22.1 | |
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envelope | 20.8 | |
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vintage | 20.7 | |
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currency | 19.8 | |
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paper | 19.6 | |
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book jacket | 18.9 | |
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portrait | 18.8 | |
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stamp | 18.6 | |
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cash | 18.3 | |
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business | 18.2 | |
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18.2 | ||
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bill | 18.1 | |
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jacket | 16.6 | |
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letter | 15.6 | |
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bank | 15.2 | |
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symbol | 14.8 | |
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postmark | 14.8 | |
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postage | 14.7 | |
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banking | 14.7 | |
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dollar | 13.9 | |
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finance | 13.5 | |
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people | 13.4 | |
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retro | 13.1 | |
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man | 12.8 | |
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one | 12.7 | |
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person | 12.4 | |
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circa | 11.8 | |
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postal | 11.8 | |
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banknote | 11.7 | |
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financial | 11.6 | |
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face | 11.4 | |
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antique | 11.3 | |
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wrapping | 11.2 | |
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philately | 10.9 | |
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exchange | 10.5 | |
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post | 10.5 | |
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office | 10.4 | |
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close | 10.3 | |
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culture | 10.3 | |
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black | 10.2 | |
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economy | 10.2 | |
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smile | 10 | |
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male | 9.9 | |
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holding | 9.9 | |
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wealth | 9.9 | |
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printed | 9.8 | |
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card | 9.5 | |
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ancient | 9.5 | |
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investment | 9.2 | |
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message | 9.1 | |
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pretty | 9.1 | |
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sign | 9 | |
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collection | 9 | |
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queen | 8.8 | |
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smiling | 8.7 | |
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model | 8.6 | |
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adult | 8.4 | |
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savings | 8.4 | |
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attractive | 8.4 | |
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happy | 8.1 | |
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aged | 8.1 | |
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covering | 8.1 | |
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success | 8 | |
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shows | 7.9 | |
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blank | 7.7 | |
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pay | 7.7 | |
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united | 7.6 | |
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studio | 7.6 | |
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head | 7.6 | |
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fashion | 7.5 | |
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book | 7.5 | |
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stock | 7.5 | |
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rich | 7.4 | |
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note | 7.4 | |
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global | 7.3 | |
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art | 7.3 | |
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market | 7.1 | |
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Google
created on 2022-01-30
Eyebrow | 94.4 | |
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Jaw | 87.6 | |
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Sleeve | 87 | |
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Art | 81.6 | |
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Font | 78.9 | |
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Vintage clothing | 73.4 | |
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Eyelash | 72.2 | |
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Fashion design | 65.9 | |
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Painting | 65.4 | |
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Pattern | 65.3 | |
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Visual arts | 65.3 | |
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History | 64.8 | |
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Drawing | 64.5 | |
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Paper product | 63.5 | |
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Paper | 63.1 | |
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Illustration | 63.1 | |
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Self-portrait | 61.7 | |
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Beard | 61.5 | |
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Moustache | 61.5 | |
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Room | 59.7 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 29-39 |
Gender | Female, 99.9% |
Calm | 79.2% |
Surprised | 8.7% |
Confused | 3.6% |
Happy | 2.8% |
Angry | 2.2% |
Fear | 1.4% |
Disgusted | 1.3% |
Sad | 0.9% |
Microsoft Cognitive Services
Age | 32 |
Gender | Female |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person
Person | 98.6% | |
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