Machine Generated Data
Tags
Clarifai
created on 2020-04-24
Imagga
created on 2020-04-24
sexy | 34.5 | |
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adult | 30.4 | |
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body | 29.6 | |
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model | 29.5 | |
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attractive | 28 | |
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person | 26.9 | |
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portrait | 26.5 | |
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fashion | 23.4 | |
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human | 22.5 | |
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man | 22.2 | |
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one | 21.6 | |
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hair | 21.4 | |
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people | 21.2 | |
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black | 20.4 | |
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skin | 19.5 | |
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pretty | 18.9 | |
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male | 18.4 | |
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face | 17 | |
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posing | 16.9 | |
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device | 16.5 | |
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lifestyle | 15.9 | |
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sensuality | 15.4 | |
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love | 15 | |
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expression | 14.5 | |
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muscular | 14.3 | |
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brunette | 13.9 | |
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couple | 13.1 | |
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sensual | 12.7 | |
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dark | 12.5 | |
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prison | 12.3 | |
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torso | 11.7 | |
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sexual | 11.6 | |
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muscle | 11.5 | |
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healthy | 11.3 | |
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erotic | 11.3 | |
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looking | 11.2 | |
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macho | 11.1 | |
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fit | 11 | |
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relaxation | 10.9 | |
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gorgeous | 10.9 | |
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fitness | 10.8 | |
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dress | 10.8 | |
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chest | 10.7 | |
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naked | 10.6 | |
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guy | 10.4 | |
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pay-phone | 10.3 | |
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wall | 10.3 | |
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art | 10 | |
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correctional institution | 9.9 | |
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modern | 9.8 | |
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lady | 9.7 | |
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health | 9.7 | |
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style | 9.6 | |
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look | 9.6 | |
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men | 9.4 | |
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strength | 9.4 | |
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cute | 9.3 | |
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slim | 9.2 | |
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make | 9.1 | |
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telephone | 9 | |
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book jacket | 8.9 | |
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handsome | 8.9 | |
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lingerie | 8.8 | |
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happy | 8.8 | |
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bath | 8.5 | |
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vintage | 8.3 | |
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sport | 8.2 | |
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water | 8 | |
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bathroom | 8 | |
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bodybuilder | 7.9 | |
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jacket | 7.9 | |
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women | 7.9 | |
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sex | 7.8 | |
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hand | 7.7 | |
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athlete | 7.6 | |
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head | 7.6 | |
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lighter | 7.5 | |
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passion | 7.5 | |
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strong | 7.5 | |
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holding | 7.4 | |
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penal institution | 7.4 | |
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cell | 7.2 | |
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pose | 7.2 | |
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wet | 7.2 | |
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Google
created on 2020-04-24
Picture frame | 94.4 | |
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Portrait | 76.6 | |
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Photography | 72.5 | |
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Art | 65.5 | |
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Chest | 64.7 | |
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Stock photography | 62.1 | |
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Visual arts | 55 | |
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Painting | 54.7 | |
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Microsoft
created on 2020-04-24
painting | 97.6 | |
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human face | 95.2 | |
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drawing | 93.1 | |
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art | 92.8 | |
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person | 92.2 | |
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sketch | 89.4 | |
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text | 82 | |
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black and white | 72.2 | |
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woman | 63.3 | |
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nude | 50.4 | |
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picture frame | 48.5 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 14-26 |
Gender | Female, 91.5% |
Angry | 0.8% |
Calm | 21.1% |
Disgusted | 0.3% |
Happy | 0.6% |
Fear | 6% |
Confused | 9% |
Surprised | 57.3% |
Sad | 5% |
Microsoft Cognitive Services
Age | 22 |
Gender | Female |