Machine Generated Data
Tags
Amazon
created on 2019-11-16
Clarifai
created on 2019-11-16
people | 100 | |
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group | 99.8 | |
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many | 99.6 | |
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art | 99.6 | |
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99.5 | ||
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illustration | 99.1 | |
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man | 99 | |
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adult | 99 | |
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engraving | 98.6 | |
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war | 98.5 | |
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soldier | 97.3 | |
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skirmish | 96.3 | |
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military | 95.9 | |
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weapon | 95.6 | |
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cavalry | 95.1 | |
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several | 93.5 | |
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painting | 92.8 | |
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lithograph | 91.6 | |
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administration | 91.5 | |
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interaction | 89 | |
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Imagga
created on 2019-11-16
graffito | 53.2 | |
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comic book | 42.7 | |
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decoration | 42.7 | |
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art | 31.2 | |
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sketch | 29.7 | |
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sculpture | 28.1 | |
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drawing | 27.8 | |
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stone | 24 | |
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old | 23 | |
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architecture | 22.7 | |
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ancient | 21.6 | |
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history | 20.6 | |
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statue | 20.3 | |
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representation | 20.1 | |
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temple | 20.1 | |
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monument | 19.6 | |
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carving | 19.3 | |
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cash | 19.2 | |
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currency | 18.8 | |
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religion | 18.8 | |
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money | 17.9 | |
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culture | 17.1 | |
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print media | 17.1 | |
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bank | 16.1 | |
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finance | 16.1 | |
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artistic | 15.6 | |
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dollar | 14.9 | |
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travel | 14.8 | |
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bill | 14.3 | |
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paper | 14.1 | |
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banking | 13.8 | |
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antique | 12.5 | |
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financial | 12.5 | |
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religious | 12.2 | |
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note | 11.9 | |
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memorial | 11.8 | |
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city | 11.6 | |
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tourism | 11.6 | |
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god | 11.5 | |
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design | 11.5 | |
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detail | 11.3 | |
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famous | 11.2 | |
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landmark | 10.8 | |
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carved | 10.8 | |
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vintage | 10.8 | |
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exchange | 10.5 | |
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figure | 10.3 | |
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grunge | 10.2 | |
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economy | 10.2 | |
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wealth | 9.9 | |
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texture | 9.7 | |
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business | 9.7 | |
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building | 9.5 | |
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gravestone | 9 | |
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king | 8.7 | |
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pay | 8.6 | |
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east | 8.4 | |
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historic | 8.3 | |
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investment | 8.2 | |
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retro | 8.2 | |
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close | 8 | |
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southeast | 7.9 | |
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century | 7.8 | |
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ruins | 7.8 | |
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wall | 7.7 | |
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spirituality | 7.7 | |
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column | 7.6 | |
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historical | 7.5 | |
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pattern | 7.5 | |
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traditional | 7.5 | |
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style | 7.4 | |
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symbol | 7.4 | |
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face | 7.1 | |
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Google
created on 2019-11-16
Art | 85.4 | |
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Illustration | 79.6 | |
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Printmaking | 60.1 | |
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Stock photography | 59.4 | |
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Visual arts | 55 | |
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Painting | 51.9 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 22-34 |
Gender | Male, 50.1% |
Calm | 53.2% |
Sad | 46.1% |
Happy | 45% |
Angry | 45.6% |
Fear | 45.1% |
Confused | 45% |
Surprised | 45% |
Disgusted | 45% |
AWS Rekognition
Age | 31-47 |
Gender | Female, 50.2% |
Fear | 49.5% |
Sad | 49.5% |
Disgusted | 49.5% |
Happy | 49.5% |
Angry | 49.5% |
Calm | 50.5% |
Surprised | 49.5% |
Confused | 49.5% |
AWS Rekognition
Age | 22-34 |
Gender | Male, 53.9% |
Fear | 45.3% |
Happy | 45.5% |
Calm | 51.7% |
Surprised | 46.6% |
Disgusted | 45.1% |
Angry | 45.7% |
Sad | 45% |
Confused | 45.1% |
AWS Rekognition
Age | 50-68 |
Gender | Male, 50.2% |
Calm | 49.7% |
Fear | 49.8% |
Confused | 49.5% |
Happy | 49.5% |
Angry | 49.9% |
Disgusted | 49.5% |
Sad | 49.6% |
Surprised | 49.5% |
AWS Rekognition
Age | 22-34 |
Gender | Male, 54.7% |
Disgusted | 45% |
Confused | 45% |
Sad | 45% |
Calm | 55% |
Angry | 45% |
Fear | 45% |
Surprised | 45% |
Happy | 45% |