Machine Generated Data
Tags
Amazon
created on 2020-04-25
Clarifai
created on 2020-04-25
people | 99.9 | |
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art | 99.9 | |
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99.8 | ||
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illustration | 99.6 | |
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portrait | 99.2 | |
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adult | 99.2 | |
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painting | 99.1 | |
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man | 99 | |
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one | 98.2 | |
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engraving | 97.2 | |
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sepia pigment | 96.6 | |
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chalk out | 95.9 | |
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facial hair | 95.1 | |
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visuals | 94.5 | |
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vintage | 94 | |
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wear | 93.9 | |
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leader | 93.5 | |
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etching | 93 | |
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old | 91.6 | |
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book bindings | 91.2 | |
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Imagga
created on 2020-04-25
sketch | 100 | |
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drawing | 100 | |
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representation | 100 | |
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money | 27.2 | |
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currency | 24.2 | |
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dollar | 22.3 | |
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cash | 22 | |
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banking | 19.3 | |
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bill | 18.1 | |
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bank | 17 | |
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close | 16.6 | |
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statue | 16.3 | |
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man | 16.1 | |
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financial | 16 | |
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art | 15.7 | |
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one | 15.7 | |
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sculpture | 15.6 | |
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paper | 14.9 | |
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portrait | 14.9 | |
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business | 14.6 | |
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dollars | 14.5 | |
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finance | 14.4 | |
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savings | 14 | |
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ancient | 13.8 | |
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old | 13.2 | |
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face | 12.8 | |
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head | 12.6 | |
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wealth | 12.6 | |
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us | 12.5 | |
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finances | 12.5 | |
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male | 12.1 | |
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architecture | 11.7 | |
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pay | 11.5 | |
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church | 11.1 | |
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religion | 10.8 | |
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hundred | 10.7 | |
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exchange | 10.5 | |
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human | 10.5 | |
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franklin | 9.8 | |
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banknotes | 9.8 | |
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payment | 9.6 | |
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loan | 9.6 | |
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people | 9.5 | |
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culture | 9.4 | |
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commerce | 9.3 | |
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closeup | 8.8 | |
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bills | 8.7 | |
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banknote | 8.7 | |
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marble | 8.7 | |
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hair | 8.7 | |
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holy | 8.7 | |
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antique | 8.7 | |
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god | 8.6 | |
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stone | 8.4 | |
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religious | 8.4 | |
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rich | 8.4 | |
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famous | 8.4 | |
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person | 8.4 | |
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figure | 8.2 | |
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concepts | 8 | |
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economic | 7.8 | |
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price | 7.7 | |
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notes | 7.7 | |
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capital | 7.6 | |
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design | 7.5 | |
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historic | 7.3 | |
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body | 7.2 | |
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history | 7.2 | |
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market | 7.1 | |
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model | 7 | |
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Google
created on 2020-04-25
Drawing | 95.5 | |
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Sketch | 94.5 | |
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Self-portrait | 81.5 | |
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Portrait | 79 | |
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Art | 76.7 | |
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Figure drawing | 72.5 | |
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Facial hair | 70.8 | |
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Illustration | 69.1 | |
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Artwork | 65.9 | |
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Beard | 63.6 | |
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Visual arts | 62.5 | |
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Painting | 58.3 | |
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Historian | 53.2 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 36-52 |
Gender | Female, 66.9% |
Confused | 8.7% |
Fear | 12.6% |
Disgusted | 0.4% |
Sad | 27% |
Calm | 37.3% |
Happy | 1.7% |
Surprised | 3.2% |
Angry | 9.2% |
Microsoft Cognitive Services
Age | 67 |
Gender | Male |