Machine Generated Data
Tags
Amazon
created on 2019-05-30
| Advertisement | 99.7 | |
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| Poster | 99.7 | |
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| Collage | 99.7 | |
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| Building | 87.2 | |
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| Architecture | 75.8 | |
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| Urban | 62.3 | |
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Clarifai
created on 2019-05-30
| people | 99.7 | |
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| monochrome | 99.1 | |
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| no person | 98.6 | |
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| vehicle | 98.3 | |
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| one | 98.3 | |
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| furniture | 97.7 | |
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| watercraft | 97.2 | |
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| adult | 97.1 | |
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| group | 97 | |
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| 96.6 | ||
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| room | 96.1 | |
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| home | 94.9 | |
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| street | 94.8 | |
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| many | 94.4 | |
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| two | 93.4 | |
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| military | 93.3 | |
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| man | 93.2 | |
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| transportation system | 92.9 | |
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| architecture | 92.2 | |
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| house | 90.5 | |
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Imagga
created on 2019-05-30
| equipment | 40.9 | |
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| electronic equipment | 33.8 | |
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| device | 22.8 | |
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| machine | 19.4 | |
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| old | 18.8 | |
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| central processing unit | 18.3 | |
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| cassette player | 15.8 | |
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| metal | 15.3 | |
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| industry | 13.7 | |
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| printer | 13.4 | |
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| black | 13.2 | |
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| home appliance | 12.7 | |
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| telephone | 12.5 | |
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| business | 12.1 | |
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| box | 12.1 | |
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| technology | 11.9 | |
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| house | 11.7 | |
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| home | 11.2 | |
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| kitchen appliance | 10.9 | |
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| open | 10.8 | |
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| camera | 10.4 | |
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| car | 10.3 | |
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| appliance | 10 | |
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| wood | 10 | |
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| industrial | 10 | |
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| vintage | 9.9 | |
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| pay-phone | 9.5 | |
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| work | 9.4 | |
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| service | 9.3 | |
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| mechanism | 9.1 | |
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| close | 9.1 | |
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| retro | 9 | |
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| transportation | 9 | |
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| digital | 8.9 | |
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| object | 8.8 | |
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| paper | 8.6 | |
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| vehicle | 8.5 | |
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| energy | 8.4 | |
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| electronic | 8.4 | |
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| dark | 8.3 | |
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| economy | 8.3 | |
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| container | 8.3 | |
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| window | 8.2 | |
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| computer | 8.2 | |
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| closeup | 8.1 | |
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| lock | 8 | |
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| steel | 8 | |
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| wooden | 7.9 | |
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| empty | 7.7 | |
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| gas | 7.7 | |
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| money | 7.7 | |
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| power | 7.6 | |
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| memory | 7.4 | |
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| aged | 7.2 | |
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| silver | 7.1 | |
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| microwave | 7.1 | |
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Google
created on 2019-05-30
| Photographic paper | 85 | |
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| Snapshot | 83.6 | |
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| Room | 76.5 | |
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| Architecture | 65.5 | |
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| House | 63.1 | |
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| Photography | 62.4 | |
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| Black-and-white | 56.4 | |
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| Art | 50.2 | |
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Microsoft
created on 2019-05-30
| black and white | 78.8 | |
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| house | 72.6 | |
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Face analysis
Amazon
AWS Rekognition
| Age | 16-27 |
| Gender | Male, 71.2% |
| Confused | 5.2% |
| Disgusted | 1.1% |
| Angry | 3.5% |
| Happy | 1.2% |
| Calm | 30.2% |
| Sad | 56% |
| Surprised | 2.7% |
Captions
Microsoft
| a black and white photo of a person | 29% | |
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| a black and white photo | 26.3% | |
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