Machine Generated Data
Tags
Amazon
created on 2019-11-09
Clarifai
created on 2019-11-09
Imagga
created on 2019-11-09
binding | 45.7 | |
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vintage | 32.5 | |
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old | 30.7 | |
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retro | 29.5 | |
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money | 26.4 | |
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paper | 26 | |
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cash | 25.6 | |
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bill | 22.8 | |
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stamp | 22.7 | |
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book jacket | 22.6 | |
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currency | 22.4 | |
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bank | 21.6 | |
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letter | 21.1 | |
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dollar | 20.4 | |
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20.1 | ||
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finance | 18.6 | |
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jacket | 18.5 | |
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grunge | 17.9 | |
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postmark | 17.7 | |
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postage | 17.7 | |
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antique | 17.3 | |
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ancient | 16.4 | |
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post | 16.2 | |
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business | 15.8 | |
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postal | 15.7 | |
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banking | 15.6 | |
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aged | 15.4 | |
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texture | 15.3 | |
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wealth | 15.3 | |
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philately | 14.8 | |
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exchange | 14.3 | |
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covering | 14.3 | |
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card | 13.6 | |
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collection | 13.5 | |
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pay | 13.4 | |
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financial | 13.4 | |
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wrapping | 13.3 | |
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world | 13.3 | |
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close | 13.1 | |
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economy | 13 | |
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design | 12.9 | |
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art | 12.1 | |
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blank | 12 | |
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symbol | 11.4 | |
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envelope | 11.1 | |
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dollars | 10.6 | |
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book | 10.2 | |
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note | 10.1 | |
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global | 10 | |
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dirty | 9.9 | |
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one | 9.7 | |
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banknote | 9.7 | |
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value | 9.7 | |
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us | 9.6 | |
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brown | 9.6 | |
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international | 9.6 | |
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closeup | 9.4 | |
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travel | 9.2 | |
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message | 9.1 | |
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circa | 8.9 | |
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collect | 8.9 | |
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country | 8.8 | |
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states | 8.7 | |
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united | 8.6 | |
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rich | 8.4 | |
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push button | 8.2 | |
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pattern | 8.2 | |
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philatelic | 7.9 | |
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hundred | 7.7 | |
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shield | 7.7 | |
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finances | 7.7 | |
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price | 7.7 | |
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rusty | 7.6 | |
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nation | 7.6 | |
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sign | 7.5 | |
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commerce | 7.5 | |
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savings | 7.5 | |
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backgrounds | 7.3 | |
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rough | 7.3 | |
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national | 7.3 | |
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black | 7.2 | |
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drawing | 7 | |
|
Google
created on 2019-11-09
Photograph | 96.1 | |
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Text | 85.2 | |
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Illustration | 74.4 | |
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Room | 71.4 | |
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Stock photography | 70.9 | |
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Picture frame | 69.4 | |
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Art | 65.5 | |
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History | 60.4 | |
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Retro style | 58.6 | |
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Vintage clothing | 55.9 | |
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Paper product | 55.7 | |
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Antique | 51.7 | |
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Paper | 51 | |
|
Microsoft
created on 2019-11-09
text | 94.6 | |
| ||
human face | 94 | |
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person | 89 | |
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clothing | 80.7 | |
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old | 63.1 | |
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picture frame | 11.8 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 27-43 |
Gender | Male, 99.3% |
Sad | 2.8% |
Confused | 0.2% |
Fear | 0% |
Angry | 0.1% |
Disgusted | 0.1% |
Happy | 0.8% |
Surprised | 0.1% |
Calm | 96% |
Microsoft Cognitive Services
Age | 39 |
Gender | Male |
Feature analysis
Amazon
Person | 97.9% | |
|
Text analysis
Amazon
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