Machine Generated Data
Tags
Clarifai
created on 2019-11-01
Imagga
created on 2019-11-01
book jacket | 89.2 | |
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jacket | 70.4 | |
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wrapping | 52.8 | |
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vintage | 43.9 | |
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covering | 36.9 | |
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stamp | 36.4 | |
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old | 36.3 | |
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envelope | 33.3 | |
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32.6 | ||
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retro | 29.5 | |
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postage | 29.5 | |
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postmark | 28.6 | |
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binding | 28.3 | |
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letter | 27.5 | |
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postal | 24.6 | |
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grunge | 23.9 | |
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paper | 23.6 | |
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post | 22 | |
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aged | 21.7 | |
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antique | 19.1 | |
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ancient | 19 | |
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philately | 18.8 | |
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money | 16.2 | |
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book | 15.8 | |
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global | 15.5 | |
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currency | 15.3 | |
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circa | 14.8 | |
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texture | 14.6 | |
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cash | 13.7 | |
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symbol | 13.5 | |
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bank | 13.4 | |
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product | 13 | |
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stamps | 12.8 | |
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printed | 12.8 | |
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bill | 12.4 | |
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shows | 11.8 | |
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history | 11.6 | |
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card | 11.1 | |
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message | 11 | |
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communication | 10.9 | |
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collection | 10.8 | |
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container | 10.8 | |
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international | 10.5 | |
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art | 10.5 | |
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creation | 10.2 | |
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finance | 10.1 | |
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banking | 10.1 | |
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note | 10.1 | |
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delivery | 9.7 | |
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states | 9.7 | |
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communications | 9.6 | |
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united | 9.5 | |
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culture | 9.4 | |
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page | 9.3 | |
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one | 9 | |
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philatelic | 8.9 | |
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correspondence | 8.8 | |
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banknote | 8.7 | |
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drawing | 8.7 | |
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cutting | 8.7 | |
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used | 8.6 | |
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design | 8.6 | |
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unique | 8.5 | |
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business | 8.5 | |
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black | 8.4 | |
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dollar | 8.4 | |
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dirty | 8.1 | |
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world | 8.1 | |
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sketch | 8 | |
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financial | 8 | |
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close | 8 | |
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zigzag | 7.9 | |
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country | 7.9 | |
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shipping | 7.8 | |
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wall | 7.7 | |
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worn | 7.6 | |
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painted | 7.6 | |
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map | 7.6 | |
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china | 7.5 | |
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frame | 7.5 | |
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national | 7.3 | |
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wealth | 7.2 | |
|
Google
created on 2019-11-01
Photograph | 94.8 | |
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Text | 89 | |
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Picture frame | 79.2 | |
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Art | 76.7 | |
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Illustration | 71 | |
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Painting | 69.8 | |
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Room | 65.7 | |
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Visual arts | 64.9 | |
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Photography | 62.4 | |
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Vintage clothing | 59 | |
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Modern art | 51.9 | |
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Drawing | 51.1 | |
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Paper | 51 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 27-43 |
Gender | Female, 69.4% |
Calm | 63.1% |
Sad | 4.8% |
Disgusted | 0.3% |
Happy | 0.9% |
Fear | 0.4% |
Confused | 0.3% |
Angry | 29.9% |
Surprised | 0.6% |
AWS Rekognition
Age | 15-27 |
Gender | Female, 53.8% |
Calm | 47.2% |
Disgusted | 45.4% |
Happy | 45% |
Fear | 46% |
Sad | 46.3% |
Confused | 45.1% |
Angry | 50% |
Surprised | 45.1% |
Feature analysis
Amazon
Person | 98.9% | |
|
Text analysis
Amazon
Flamor
la
Flamor la muerte.
muerte.
y
Lo.
Hamor y
la muerte
Hamor
y
la
muerte
Lo.