Machine Generated Data
Tags
Amazon
created on 2019-04-05
Clarifai
created on 2018-04-19
Imagga
created on 2018-04-19
decoration | 100 | |
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graffito | 100 | |
| ||
vintage | 28.1 | |
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old | 26.5 | |
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money | 23.8 | |
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retro | 23.8 | |
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paper | 23.5 | |
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currency | 23.3 | |
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grunge | 23 | |
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finance | 20.3 | |
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cash | 20.1 | |
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stamp | 19.1 | |
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envelope | 17.2 | |
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bank | 17 | |
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banking | 15.6 | |
| ||
ancient | 15.6 | |
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15.3 | ||
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financial | 15.2 | |
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postmark | 14.8 | |
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postage | 14.7 | |
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note | 14.7 | |
| ||
letter | 14.7 | |
| ||
texture | 14.6 | |
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bill | 14.3 | |
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postal | 13.7 | |
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business | 12.8 | |
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doormat | 12.2 | |
| ||
antique | 12.1 | |
| ||
savings | 12.1 | |
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wealth | 11.7 | |
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symbol | 11.5 | |
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post | 11.4 | |
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aged | 10.9 | |
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used | 10.6 | |
| ||
pay | 10.6 | |
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notes | 10.6 | |
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sign | 10.5 | |
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textured | 10.5 | |
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design | 10.2 | |
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card | 10.2 | |
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global | 10 | |
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frame | 10 | |
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collection | 9.9 | |
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banknotes | 9.8 | |
| ||
mat | 9.6 | |
| ||
exchange | 9.6 | |
| ||
travel | 9.2 | |
| ||
art | 9.1 | |
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national | 9.1 | |
| ||
dirty | 9 | |
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history | 8.9 | |
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new | 8.9 | |
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market | 8.9 | |
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world | 8.9 | |
| ||
flag | 8.8 | |
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bills | 8.7 | |
| ||
banknote | 8.7 | |
| ||
wall | 8.7 | |
| ||
payment | 8.7 | |
| ||
damaged | 8.6 | |
| ||
rich | 8.4 | |
| ||
container | 8.1 | |
| ||
close | 8 | |
| ||
philately | 7.9 | |
| ||
stamps | 7.9 | |
| ||
value | 7.8 | |
| ||
pattern | 7.5 | |
| ||
style | 7.4 | |
| ||
economy | 7.4 | |
| ||
floor cover | 7.3 | |
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rough | 7.3 | |
| ||
material | 7.2 | |
|
Google
created on 2018-04-19
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 20-38 |
Gender | Female, 52.1% |
Happy | 45.5% |
Calm | 46% |
Confused | 45.8% |
Angry | 48.5% |
Disgusted | 45.8% |
Sad | 47.4% |
Surprised | 46% |
Feature analysis
Text analysis
Amazon
R