Machine Generated Data
Tags
Clarifai
created on 2020-04-23
Imagga
created on 2020-04-23
face | 44.1 | |
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portrait | 36.9 | |
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person | 31.1 | |
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hair | 28.6 | |
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man | 26.2 | |
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skin | 24.2 | |
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bust | 23.7 | |
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wig | 22.6 | |
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people | 21.8 | |
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sculpture | 21.6 | |
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male | 21.3 | |
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eyes | 20.7 | |
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attractive | 20.3 | |
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head | 20.2 | |
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adult | 18.8 | |
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hairpiece | 18.1 | |
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attire | 17.9 | |
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senior | 17.8 | |
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expression | 17.1 | |
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smile | 16.4 | |
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crazy | 16.4 | |
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facial | 16.3 | |
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model | 15.6 | |
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pretty | 15.4 | |
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clothing | 15.1 | |
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one | 14.9 | |
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sexy | 14.5 | |
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happy | 14.4 | |
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mask | 14.3 | |
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handsome | 14.3 | |
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old | 13.9 | |
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plastic art | 13.8 | |
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close | 13.1 | |
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health | 12.5 | |
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art | 12.3 | |
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brunette | 12.2 | |
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lady | 12.2 | |
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comedian | 12.1 | |
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human | 12 | |
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covering | 11.7 | |
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nose | 11.6 | |
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look | 11.4 | |
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mature | 11.2 | |
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beard | 10.9 | |
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black | 10.8 | |
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elderly | 10.5 | |
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guy | 10.5 | |
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mouth | 10.5 | |
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boy | 10.4 | |
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lips | 10.2 | |
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emotion | 10.2 | |
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performer | 10.1 | |
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smiling | 10.1 | |
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healthy | 10.1 | |
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studio | 9.9 | |
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fashion | 9.8 | |
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retirement | 9.6 | |
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looking | 9.6 | |
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body | 9.6 | |
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water | 9.4 | |
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sensual | 9.1 | |
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spa | 9 | |
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eye | 8.9 | |
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retired | 8.7 | |
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love | 8.7 | |
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lifestyle | 8.7 | |
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men | 8.6 | |
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mug shot | 8.5 | |
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cute | 7.9 | |
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makeup | 7.9 | |
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figure | 7.8 | |
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entertainer | 7.7 | |
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drops | 7.6 | |
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clean | 7.5 | |
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closeup | 7.4 | |
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care | 7.4 | |
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make | 7.3 | |
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gorgeous | 7.3 | |
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wet | 7.2 | |
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women | 7.1 | |
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lovely | 7.1 | |
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happiness | 7.1 | |
|
Google
created on 2020-04-23
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 15-27 |
Gender | Male, 99.3% |
Angry | 0.7% |
Disgusted | 0.1% |
Sad | 3.5% |
Calm | 89.5% |
Confused | 3.8% |
Happy | 0.7% |
Fear | 0.4% |
Surprised | 1.3% |
Microsoft Cognitive Services
Age | 24 |
Gender | Male |
Feature analysis
Text analysis
Amazon
RO-S