Machine Generated Data
Tags
Amazon
created on 2019-08-10
Clarifai
created on 2019-08-10
Imagga
created on 2019-08-10
sketch | 100 | |
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drawing | 100 | |
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representation | 80.8 | |
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vintage | 32.3 | |
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old | 31.4 | |
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grunge | 28.1 | |
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retro | 22.9 | |
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art | 21.5 | |
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antique | 20.8 | |
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ancient | 20.7 | |
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paper | 18.8 | |
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decoration | 18.3 | |
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history | 17.9 | |
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texture | 17.4 | |
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aged | 17.2 | |
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stamp | 16.9 | |
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graffito | 16.1 | |
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design | 15.9 | |
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frame | 15 | |
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architecture | 14.8 | |
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sculpture | 13.5 | |
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wall | 13 | |
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letter | 12.8 | |
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historic | 11.9 | |
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pattern | 11.6 | |
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symbol | 11.4 | |
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historical | 11.3 | |
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travel | 11.3 | |
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artwork | 11 | |
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global | 10.9 | |
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postage | 10.8 | |
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states | 10.6 | |
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world | 10.6 | |
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10.5 | ||
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structure | 10.5 | |
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united | 10.5 | |
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bill | 10.5 | |
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old fashioned | 10.5 | |
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stone | 10.2 | |
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money | 10.2 | |
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card | 10.2 | |
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note | 10.1 | |
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border | 9.9 | |
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dirty | 9.9 | |
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landmark | 9.9 | |
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tourism | 9.9 | |
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currency | 9.9 | |
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postmark | 9.9 | |
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international | 9.5 | |
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post | 9.5 | |
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rusty | 9.5 | |
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building | 9.5 | |
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monument | 9.3 | |
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decorative | 9.2 | |
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cash | 9.2 | |
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black | 9 | |
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style | 8.9 | |
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postal | 8.8 | |
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culture | 8.5 | |
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grungy | 8.5 | |
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finance | 8.4 | |
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wallpaper | 8.4 | |
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famous | 8.4 | |
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backgrounds | 8.1 | |
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religion | 8.1 | |
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detail | 8 | |
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material | 8 | |
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graphic | 8 | |
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envelope | 7.8 | |
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artistic | 7.8 | |
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floral | 7.7 | |
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north | 7.6 | |
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damaged | 7.6 | |
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statue | 7.6 | |
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communication | 7.6 | |
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earth | 7.4 | |
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brown | 7.4 | |
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paint | 7.2 | |
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collection | 7.2 | |
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bank | 7.2 | |
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surface | 7.1 | |
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country | 7 | |
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Google
created on 2019-08-10
Photograph | 94.8 | |
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Painting | 89.9 | |
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Picture frame | 89.6 | |
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Art | 85.1 | |
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Drawing | 76.1 | |
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Illustration | 71 | |
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Stock photography | 67.6 | |
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Visual arts | 66.9 | |
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Room | 65.7 | |
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Modern art | 65.1 | |
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Artwork | 63.5 | |
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History | 62.6 | |
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Photography | 62.4 | |
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Black-and-white | 56.4 | |
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Antique | 56.3 | |
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Style | 52.5 | |
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Sketch | 52 | |
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Paper | 51 | |
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Collection | 50 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 30-46 |
Gender | Male, 54.1% |
Confused | 45.1% |
Happy | 45.3% |
Angry | 45.3% |
Sad | 45.1% |
Disgusted | 47.5% |
Calm | 51.4% |
Fear | 45.1% |
Surprised | 45.2% |
AWS Rekognition
Age | 38-56 |
Gender | Female, 50.2% |
Angry | 49.8% |
Disgusted | 49.5% |
Sad | 49.6% |
Surprised | 49.5% |
Calm | 49.5% |
Fear | 49.8% |
Happy | 49.7% |
Confused | 49.5% |
Feature analysis
Text analysis
Amazon
Tbeorg.
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