Machine Generated Data
Tags
Clarifai
created on 2023-10-13
Imagga
created on 2021-11-11
book jacket | 100 | |
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jacket | 92.3 | |
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wrapping | 68.6 | |
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covering | 47.6 | |
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old | 34.8 | |
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vintage | 33.1 | |
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grunge | 30.7 | |
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retro | 27 | |
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paper | 24.3 | |
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ancient | 23.3 | |
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antique | 22.5 | |
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aged | 19 | |
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money | 18.7 | |
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texture | 18.1 | |
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art | 17.7 | |
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envelope | 16.6 | |
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cash | 16.5 | |
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frame | 15.8 | |
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currency | 15.3 | |
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letter | 14.7 | |
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binding | 14.4 | |
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bank | 14.3 | |
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stamp | 13.8 | |
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banking | 13.8 | |
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card | 12.8 | |
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dirty | 12.7 | |
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12.4 | ||
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design | 12.4 | |
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grungy | 12.3 | |
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postage | 11.8 | |
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history | 11.6 | |
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decoration | 11.3 | |
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empty | 11.2 | |
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dollar | 11.1 | |
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wall | 11.1 | |
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finance | 11 | |
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postmark | 10.8 | |
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financial | 10.7 | |
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dollars | 10.6 | |
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pay | 10.5 | |
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damaged | 10.5 | |
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bill | 10.5 | |
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historical | 10.3 | |
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pattern | 10.3 | |
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savings | 10.3 | |
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symbol | 10.1 | |
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border | 9.9 | |
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material | 9.8 | |
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postal | 9.8 | |
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bills | 9.7 | |
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detail | 9.7 | |
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textured | 9.6 | |
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structure | 9.6 | |
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rusty | 9.5 | |
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old fashioned | 9.5 | |
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closeup | 9.4 | |
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culture | 9.4 | |
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rough | 9.1 | |
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black | 9 | |
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backgrounds | 8.9 | |
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book | 8.8 | |
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states | 8.7 | |
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blank | 8.6 | |
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wallpaper | 8.4 | |
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cover | 8.3 | |
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note | 8.3 | |
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one | 8.2 | |
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wealth | 8.1 | |
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philately | 7.9 | |
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business | 7.9 | |
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face | 7.8 | |
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space | 7.8 | |
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travel | 7.7 | |
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payment | 7.7 | |
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stain | 7.7 | |
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exchange | 7.6 | |
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post | 7.6 | |
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united | 7.6 | |
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monument | 7.5 | |
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element | 7.4 | |
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page | 7.4 | |
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economy | 7.4 | |
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historic | 7.3 | |
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graphic | 7.3 | |
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paint | 7.2 | |
|
Google
created on 2021-11-11
Wood | 82.5 | |
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Rectangle | 81.3 | |
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Art | 80 | |
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Font | 76.4 | |
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Tints and shades | 75.1 | |
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Vintage clothing | 69 | |
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Visual arts | 67.1 | |
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Paper product | 66.9 | |
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Paper | 66.6 | |
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Illustration | 64.5 | |
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Painting | 63.4 | |
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Room | 61.3 | |
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Printmaking | 59.4 | |
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Still life | 52.1 | |
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Square | 51.5 | |
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Photographic paper | 51.3 | |
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Wrist | 50.3 | |
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Still life photography | 50.2 | |
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Antique | 50.1 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 22-34 |
Gender | Male, 92.1% |
Calm | 86.9% |
Angry | 4.7% |
Happy | 3.7% |
Fear | 1.7% |
Sad | 1.4% |
Surprised | 1% |
Disgusted | 0.4% |
Confused | 0.2% |
Feature analysis
Amazon
Person | 97.4% | |
|
Text analysis
Amazon
to
creyera!
Quien to creyera!
Quien
62.
62.
IJuien lo creyera!
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62.
IJuien
lo
creyera!
00000
0000000000000000
000000090@
0900
e0000
000000
0000000000
00000000
O0000