Machine Generated Data
Tags
Clarifai
created on 2019-11-03
Imagga
created on 2019-11-03
sketch | 100 | |
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drawing | 100 | |
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representation | 100 | |
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money | 22.1 | |
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currency | 21.6 | |
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paper | 21.2 | |
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cash | 19.2 | |
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portrait | 16.8 | |
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vintage | 16.5 | |
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banking | 15.6 | |
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old | 14.6 | |
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finance | 14.4 | |
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bill | 14.3 | |
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dollar | 13.9 | |
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close | 13.7 | |
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bank | 13.4 | |
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head | 13.4 | |
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art | 13 | |
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grunge | 12.8 | |
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financial | 12.5 | |
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business | 12.2 | |
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ancient | 12.1 | |
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economy | 12.1 | |
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culture | 12 | |
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pretty | 11.9 | |
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attractive | 11.9 | |
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person | 11.8 | |
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wealth | 11.7 | |
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model | 11.7 | |
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banknote | 11.7 | |
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retro | 11.5 | |
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fashion | 11.3 | |
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sexy | 11.2 | |
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hair | 11.1 | |
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letter | 11 | |
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pay | 10.6 | |
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body | 10.4 | |
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antique | 10.4 | |
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feminine | 10.3 | |
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savings | 10.3 | |
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skin | 10.2 | |
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symbol | 10.1 | |
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people | 10 | |
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face | 9.9 | |
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postage | 9.8 | |
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one | 9.7 | |
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adult | 9.7 | |
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stamp | 9.7 | |
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dollars | 9.7 | |
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9.6 | ||
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exchange | 9.6 | |
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rich | 9.3 | |
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texture | 9 | |
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human | 9 | |
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banknotes | 8.8 | |
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man | 8.7 | |
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us | 8.7 | |
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note | 8.3 | |
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style | 8.2 | |
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spa | 8.1 | |
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history | 8.1 | |
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postmark | 7.9 | |
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postal | 7.9 | |
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eyes | 7.7 | |
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sculpture | 7.7 | |
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pound | 7.7 | |
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payment | 7.7 | |
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expression | 7.7 | |
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notes | 7.7 | |
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loan | 7.7 | |
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post | 7.6 | |
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investment | 7.3 | |
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sensual | 7.3 | |
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sensuality | 7.3 | |
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envelope | 7.2 | |
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posing | 7.1 | |
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Google
created on 2019-11-03
Face | 97.7 | |
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Drawing | 94 | |
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Sketch | 92.7 | |
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Head | 91.6 | |
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Nose | 90.7 | |
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Eyebrow | 90.5 | |
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Cheek | 89.8 | |
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Portrait | 88.9 | |
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Chin | 88.3 | |
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Art | 81.3 | |
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Jaw | 79.1 | |
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Forehead | 78.2 | |
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Self-portrait | 74.9 | |
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Artwork | 73.2 | |
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Illustration | 65.5 | |
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Figure drawing | 60.8 | |
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Painting | 59.3 | |
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Visual arts | 59.3 | |
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Microsoft
created on 2019-11-03
sketch | 99.9 | |
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drawing | 99.9 | |
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child art | 98.5 | |
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text | 94.3 | |
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painting | 93.5 | |
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art | 88.2 | |
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human face | 84.6 | |
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illustration | 76 | |
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woman | 51 | |
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person | 50 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 19-31 |
Gender | Female, 94.2% |
Disgusted | 1.4% |
Happy | 0.6% |
Angry | 2% |
Fear | 0.9% |
Confused | 1.7% |
Sad | 27.3% |
Surprised | 0.4% |
Calm | 65.6% |
Microsoft Cognitive Services
Age | 23 |
Gender | Female |
Feature analysis
Text analysis
Amazon
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1922
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Fanc Srafo
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