Machine Generated Data
Tags
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-22
drawing | 100 | |
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sketch | 100 | |
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representation | 100 | |
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portrait | 33 | |
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model | 29.6 | |
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attractive | 28.7 | |
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fashion | 25.7 | |
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person | 24.3 | |
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face | 23.5 | |
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style | 22.3 | |
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adult | 22 | |
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make | 21.8 | |
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pretty | 21.7 | |
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sexy | 21.7 | |
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hair | 21.4 | |
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people | 21.2 | |
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makeup | 19.2 | |
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close | 18.9 | |
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lips | 18.5 | |
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skin | 17.8 | |
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body | 17.6 | |
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posing | 16.9 | |
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art | 16.3 | |
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lady | 16.2 | |
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elegance | 16 | |
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human | 15.8 | |
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black | 15.6 | |
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sensual | 15.5 | |
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studio | 15.2 | |
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look | 14.9 | |
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eyes | 14.6 | |
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hairstyle | 14.3 | |
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brunette | 14 | |
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cute | 12.9 | |
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expression | 12.8 | |
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currency | 12.6 | |
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elegant | 12 | |
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money | 11.9 | |
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gorgeous | 11.8 | |
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head | 11.8 | |
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one | 11.2 | |
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closeup | 10.8 | |
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man | 10.8 | |
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feminine | 10.3 | |
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cash | 10.1 | |
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stylish | 10 | |
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vintage | 9.9 | |
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bill | 9.5 | |
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passion | 9.4 | |
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happy | 9.4 | |
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grunge | 9.4 | |
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smile | 9.3 | |
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male | 9.2 | |
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eye | 8.9 | |
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looking | 8.8 | |
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natural | 8.7 | |
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erotic | 8.5 | |
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cosmetics | 8.4 | |
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dollar | 8.4 | |
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emotion | 8.3 | |
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long | 8.3 | |
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lovely | 8 | |
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love | 7.9 | |
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vogue | 7.8 | |
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fashionable | 7.6 | |
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banking | 7.4 | |
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sensuality | 7.3 | |
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smiling | 7.2 | |
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blond | 7.2 | |
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wealth | 7.2 | |
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bank | 7.2 | |
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financial | 7.1 | |
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women | 7.1 | |
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Google
created on 2022-01-22
Hair | 98.4 | |
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Nose | 98.4 | |
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Face | 98.3 | |
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Eye | 93.4 | |
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Jaw | 88.2 | |
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Beard | 88.1 | |
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Art | 83.5 | |
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Headgear | 82.5 | |
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Painting | 82.3 | |
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Facial hair | 81.6 | |
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Illustration | 73.9 | |
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Self-portrait | 73.8 | |
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Vintage clothing | 72.5 | |
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Drawing | 72.4 | |
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Figure drawing | 72.4 | |
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Moustache | 70.8 | |
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Sketch | 65.2 | |
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Visual arts | 65.1 | |
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Printmaking | 64.8 | |
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Handwriting | 64.2 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 38-46 |
Gender | Male, 99.9% |
Calm | 95.3% |
Sad | 2.2% |
Disgusted | 0.8% |
Fear | 0.6% |
Confused | 0.4% |
Angry | 0.3% |
Surprised | 0.3% |
Happy | 0.1% |
Microsoft Cognitive Services
Age | 49 |
Gender | Male |
Feature analysis
Amazon
Person | 92.2% | |
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Text analysis
Amazon
ISH