Machine Generated Data
Tags
Amazon
created on 2019-06-01
Clarifai
created on 2019-06-01
Imagga
created on 2019-06-01
| currency | 38.6 | |
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| money | 38.3 | |
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| cash | 35.7 | |
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| container | 29.4 | |
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| bank | 27.8 | |
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| finance | 26.2 | |
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| paper | 26.1 | |
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| dollar | 26 | |
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| banking | 25.7 | |
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| graffito | 22.7 | |
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| coffee mug | 22.7 | |
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| business | 22.5 | |
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| banknote | 22.3 | |
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| wealth | 21.5 | |
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| savings | 20.5 | |
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| financial | 20.5 | |
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| glass | 20.4 | |
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| book jacket | 19.4 | |
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| note | 19.3 | |
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| old | 18.8 | |
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| dollars | 18.3 | |
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| investment | 18.3 | |
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| mug | 17.6 | |
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| decoration | 17.3 | |
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| exchange | 17.2 | |
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| bill | 17.1 | |
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| hundred | 16.5 | |
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| vessel | 16 | |
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| cup | 15.6 | |
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| jacket | 15.1 | |
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| wrapping | 14.4 | |
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| drinking vessel | 13.6 | |
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| payment | 13.5 | |
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| economy | 13 | |
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| banknotes | 12.7 | |
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| vintage | 12.7 | |
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| close | 12.6 | |
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| change | 12.5 | |
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| rich | 12.1 | |
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| stamp | 12 | |
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| us | 11.6 | |
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| pay | 11.5 | |
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| notes | 11.5 | |
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| retro | 11.5 | |
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| stock | 11.2 | |
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| covering | 10.2 | |
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| ceramic ware | 10.1 | |
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| symbol | 10.1 | |
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| design | 9.8 | |
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| earthenware | 9.8 | |
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| market | 9.8 | |
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| bills | 9.7 | |
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| loan | 9.6 | |
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| antique | 9.5 | |
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| grunge | 9.4 | |
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| gold | 9 | |
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| rate | 8.7 | |
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| tableware | 8.7 | |
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| buy | 8.4 | |
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| binding | 8.3 | |
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| sign | 8.3 | |
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| letter | 8.3 | |
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| one | 8.2 | |
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| world | 8 | |
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| salary | 7.9 | |
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| monetary | 7.8 | |
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| ancient | 7.8 | |
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| paying | 7.8 | |
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| invest | 7.7 | |
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| finances | 7.7 | |
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| price | 7.7 | |
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| 7.7 | ||
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| map | 7.7 | |
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| profit | 7.6 | |
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| coin | 7.6 | |
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| pattern | 7.5 | |
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| number | 7.5 | |
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| success | 7.2 | |
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| black | 7.2 | |
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| collection | 7.2 | |
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| concepts | 7.1 | |
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| travel | 7 | |
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Google
created on 2019-06-01
| Illustration | 89.2 | |
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| Drawing | 88.8 | |
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| Modern art | 87.9 | |
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| Art | 86.6 | |
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| Painting | 75.7 | |
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| Visual arts | 72.2 | |
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| Sketch | 71.2 | |
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| Watercolor paint | 70.3 | |
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| Fiction | 66.6 | |
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| Artwork | 56 | |
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Face analysis
Amazon
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 50.2% |
| Angry | 50.2% |
| Happy | 49.5% |
| Confused | 49.5% |
| Calm | 49.5% |
| Surprised | 49.6% |
| Sad | 49.6% |
| Disgusted | 49.5% |
AWS Rekognition
| Age | 17-27 |
| Gender | Female, 50.4% |
| Confused | 49.5% |
| Disgusted | 49.5% |
| Calm | 49.6% |
| Angry | 49.5% |
| Sad | 50.1% |
| Happy | 49.7% |
| Surprised | 49.5% |
Feature analysis
Amazon
| Person | 65% | |
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Captions
Microsoft
| a close up of text on a white board | 47% | |
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| a close up of text on a white surface | 46.9% | |
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| a close up of text on a black surface | 46.8% | |
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Text analysis
Amazon
AR
2/
rce 2/
rce