Machine Generated Data
Tags
Amazon
created on 2019-04-09
Clarifai
created on 2018-02-10
retro | 98.3 | |
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art | 98.3 | |
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old | 97.9 | |
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illustration | 97.9 | |
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antique | 97.5 | |
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paper | 96.9 | |
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vintage | 96.8 | |
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manuscript | 96.5 | |
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painting | 96 | |
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ancient | 93.8 | |
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92.1 | ||
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picture frame | 90.9 | |
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people | 90.3 | |
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decoration | 89.5 | |
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text | 89.3 | |
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wear | 88.5 | |
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book bindings | 87.8 | |
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design | 86.5 | |
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card | 86.3 | |
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document | 84.5 | |
|
Imagga
created on 2018-02-10
bookmark | 100 | |
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vintage | 47.2 | |
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old | 41.9 | |
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stamp | 36.8 | |
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35.5 | ||
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retro | 33.6 | |
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postage | 31.5 | |
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paper | 31.4 | |
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letter | 30.3 | |
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postmark | 29.6 | |
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envelope | 27.5 | |
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binding | 24.8 | |
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post | 24.8 | |
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philately | 23.7 | |
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postal | 23.6 | |
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grunge | 23 | |
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antique | 20.8 | |
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ancient | 20.8 | |
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collection | 18.1 | |
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texture | 16.7 | |
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aged | 16.3 | |
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circa | 14.8 | |
| ||
art | 14.4 | |
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global | 13.7 | |
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design | 13.5 | |
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stamps | 12.8 | |
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collect | 12.8 | |
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printed | 12.8 | |
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book | 12.7 | |
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symbol | 12.1 | |
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page | 12.1 | |
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jacket | 12.1 | |
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card | 11.9 | |
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philatelic | 11.9 | |
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shows | 11.8 | |
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blank | 11.2 | |
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culture | 11.1 | |
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cover | 11.1 | |
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money | 11.1 | |
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message | 11 | |
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history | 10.7 | |
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covering | 10.7 | |
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communication | 10.1 | |
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cash | 10.1 | |
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dirty | 10 | |
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pattern | 9.6 | |
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international | 9.6 | |
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frame | 9.2 | |
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national | 9.1 | |
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border | 9.1 | |
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currency | 9 | |
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country | 8.9 | |
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correspondence | 8.8 | |
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delivery | 8.8 | |
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torn | 8.7 | |
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used | 8.7 | |
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worn | 8.6 | |
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floral | 8.5 | |
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flower | 8.5 | |
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finance | 8.5 | |
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wallpaper | 8.4 | |
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wrapping | 8.4 | |
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document | 8.4 | |
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note | 8.3 | |
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artwork | 8.3 | |
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object | 8.1 | |
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close | 8 | |
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world | 8 | |
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drawing | 7.7 | |
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states | 7.7 | |
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exchange | 7.6 | |
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bill | 7.6 | |
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unique | 7.6 | |
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container | 7.5 | |
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backdrop | 7.4 | |
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paint | 7.3 | |
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bank | 7.2 | |
|
Google
created on 2018-02-10
text | 85.6 | |
| ||
miniature | 66.7 | |
| ||
illustration | 61 | |
| ||
art | 57.2 | |
|
Microsoft
created on 2018-02-10
text | 94.2 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 26-43 |
Gender | Male, 98.9% |
Happy | 7.9% |
Disgusted | 2% |
Confused | 8.1% |
Calm | 43.7% |
Angry | 6% |
Sad | 17.3% |
Surprised | 15% |
Feature analysis
Text analysis
Amazon
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