Machine Generated Data
Tags
Amazon
created on 2019-11-01
Clarifai
created on 2019-11-01
Imagga
created on 2019-11-01
sketch | 100 | |
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drawing | 82.4 | |
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representation | 64 | |
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vintage | 30.6 | |
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grunge | 28.9 | |
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retro | 25.4 | |
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old | 25.1 | |
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paper | 24.4 | |
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art | 21.3 | |
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stamp | 20.5 | |
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letter | 18.3 | |
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18.2 | ||
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aged | 18.1 | |
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texture | 18.1 | |
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book jacket | 17.5 | |
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antique | 17.3 | |
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postage | 16.7 | |
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ancient | 16.4 | |
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money | 15.3 | |
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currency | 15.3 | |
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postmark | 14.8 | |
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cash | 14.6 | |
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postal | 13.7 | |
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jacket | 13.6 | |
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design | 13.4 | |
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post | 13.3 | |
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pattern | 13 | |
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dirty | 12.6 | |
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sand | 12.3 | |
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banking | 11.9 | |
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bank | 11.6 | |
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decoration | 11.5 | |
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close | 11.4 | |
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bill | 11.4 | |
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card | 11.4 | |
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envelope | 11.3 | |
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grungy | 10.4 | |
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wrapping | 10.3 | |
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dollar | 10.2 | |
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philately | 9.9 | |
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financial | 9.8 | |
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symbol | 9.4 | |
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frame | 9.4 | |
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painting | 9.3 | |
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finance | 9.3 | |
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business | 9.1 | |
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collection | 9 | |
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summer | 9 | |
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history | 8.9 | |
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sea | 8.6 | |
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exchange | 8.6 | |
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blank | 8.6 | |
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floral | 8.5 | |
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wallpaper | 8.4 | |
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economy | 8.3 | |
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rough | 8.2 | |
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circa | 7.9 | |
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stamps | 7.9 | |
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textured | 7.9 | |
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text | 7.9 | |
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color | 7.8 | |
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states | 7.7 | |
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dollars | 7.7 | |
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culture | 7.7 | |
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flower | 7.7 | |
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parchment | 7.7 | |
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worn | 7.6 | |
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united | 7.6 | |
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old fashioned | 7.6 | |
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beach | 7.6 | |
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communication | 7.6 | |
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sign | 7.5 | |
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rich | 7.4 | |
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backdrop | 7.4 | |
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man | 7.4 | |
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light | 7.3 | |
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artwork | 7.3 | |
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message | 7.3 | |
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border | 7.2 | |
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covering | 7.2 | |
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wealth | 7.2 | |
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portrait | 7.1 | |
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market | 7.1 | |
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creative | 7.1 | |
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Google
created on 2019-11-01
Drawing | 90.6 | |
| ||
Figure drawing | 85.9 | |
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Art | 82 | |
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Sketch | 78.9 | |
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Illustration | 71 | |
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Artwork | 64.1 | |
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Visual arts | 59.3 | |
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Art model | 50.6 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 26-42 |
Gender | Male, 82.4% |
Confused | 0.1% |
Calm | 0% |
Fear | 79.1% |
Surprised | 1.4% |
Disgusted | 0.1% |
Angry | 19% |
Happy | 0.2% |
Sad | 0.1% |
Feature analysis
Amazon
Person | 86.1% | |
|
Text analysis
Amazon
Dan.3.olterra
d.
M.a.Bon.in. Dan.3.olterra d. If
If
M.a.Bon.in.
14
Ma.Bon.au. Dan.Volterra d
14
Ma.Bon.au.
Dan.Volterra
d