Machine Generated Data
Tags
Amazon
created on 2021-04-04
Clarifai
created on 2021-04-04
Imagga
created on 2021-04-04
tattoo | 41.4 | |
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design | 35.8 | |
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decoration | 34.6 | |
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art | 30.4 | |
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money | 26.4 | |
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currency | 26 | |
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cash | 23.8 | |
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finance | 23.7 | |
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drawing | 23.1 | |
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sketch | 22.9 | |
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banking | 21.1 | |
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financial | 20.5 | |
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antique | 20.5 | |
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pattern | 19.8 | |
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bank | 19.7 | |
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old | 18.8 | |
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vintage | 18.2 | |
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paper | 18 | |
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wealth | 18 | |
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mosaic | 18 | |
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dollar | 17.6 | |
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retro | 15.6 | |
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comic book | 15.4 | |
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note | 14.7 | |
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business | 14.6 | |
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savings | 14 | |
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tile | 14 | |
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investment | 13.8 | |
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grunge | 13.6 | |
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representation | 13.4 | |
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exchange | 12.4 | |
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gold | 12.3 | |
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ancient | 12.1 | |
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close | 12 | |
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decorative | 11.7 | |
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banknote | 11.6 | |
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dollars | 11.6 | |
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market | 11.5 | |
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bill | 11.4 | |
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style | 11.1 | |
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economy | 11.1 | |
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painting | 10.8 | |
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black | 10.8 | |
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symbol | 10.8 | |
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religion | 10.8 | |
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detail | 10.5 | |
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texture | 10.4 | |
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culture | 10.3 | |
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stamp | 10.2 | |
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ornate | 10.1 | |
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history | 9.8 | |
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banknotes | 9.8 | |
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transducer | 9.7 | |
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architecture | 9.4 | |
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church | 9.3 | |
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travel | 9.2 | |
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traditional | 9.2 | |
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book jacket | 9 | |
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us | 8.7 | |
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trade | 8.6 | |
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rich | 8.4 | |
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color | 8.3 | |
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backdrop | 8.2 | |
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global | 8.2 | |
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success | 8 | |
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graphic | 8 | |
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world | 8 | |
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decor | 8 | |
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sculpture | 7.8 | |
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artistic | 7.8 | |
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bills | 7.8 | |
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invest | 7.7 | |
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pound | 7.7 | |
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pay | 7.7 | |
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floral | 7.7 | |
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wallpaper | 7.7 | |
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capital | 7.6 | |
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religious | 7.5 | |
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silhouette | 7.5 | |
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electrical device | 7.3 | |
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collection | 7.2 | |
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modern | 7 | |
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Google
created on 2021-04-04
Vertebrate | 91.9 | |
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Human body | 88.5 | |
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Textile | 87.2 | |
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Organism | 86.9 | |
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Painting | 81.1 | |
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Tree | 81 | |
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Art | 80.9 | |
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Adaptation | 79.2 | |
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Illustration | 72.1 | |
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Visual arts | 70.8 | |
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Mythology | 70.1 | |
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Drawing | 69.2 | |
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Printmaking | 68 | |
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History | 67.7 | |
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Stock photography | 64.1 | |
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Kneeling | 63.4 | |
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Artwork | 62.7 | |
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Sketch | 57.7 | |
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Sitting | 50.6 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 22-34 |
Gender | Male, 80.7% |
Fear | 36.2% |
Calm | 35.4% |
Sad | 8.7% |
Surprised | 7.4% |
Angry | 5.2% |
Confused | 3.4% |
Happy | 2.9% |
Disgusted | 0.8% |
AWS Rekognition
Age | 21-33 |
Gender | Female, 50.8% |
Sad | 97.9% |
Fear | 0.8% |
Calm | 0.8% |
Confused | 0.1% |
Angry | 0.1% |
Surprised | 0.1% |
Happy | 0% |
Disgusted | 0% |
Feature analysis
Amazon
Person | 78.2% | |
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