Machine Generated Data
Tags
Amazon
created on 2021-12-14
Clarifai
created on 2023-10-22
| people | 99.6 | |
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| man | 97 | |
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| monochrome | 96.9 | |
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| adult | 96.7 | |
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| two | 96.4 | |
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| veil | 95.4 | |
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| group | 94.5 | |
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| wear | 91.5 | |
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| one | 91 | |
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| three | 90.7 | |
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| fish | 89.6 | |
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| group together | 89 | |
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| vehicle | 87.6 | |
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| art | 87.2 | |
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| watercraft | 85.8 | |
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| woman | 83.4 | |
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| food | 83 | |
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| several | 80.5 | |
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| 76.7 | ||
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| illustration | 75.4 | |
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Imagga
created on 2021-12-14
| negative | 17.6 | |
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| film | 13.8 | |
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| person | 13 | |
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| color | 12.8 | |
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| device | 12.7 | |
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| hand | 12.1 | |
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| instrument | 12 | |
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| work | 11.8 | |
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| people | 11.7 | |
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| professional | 11.2 | |
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| man | 10.7 | |
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| photographic paper | 10.7 | |
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| syringe | 10.6 | |
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| medical | 10.6 | |
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| paper | 10.5 | |
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| paper towel | 9.9 | |
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| technology | 9.6 | |
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| bride | 9.6 | |
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| wedding | 9.2 | |
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| love | 8.7 | |
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| water | 8.7 | |
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| towel | 8.6 | |
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| medical instrument | 8.5 | |
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| business | 8.5 | |
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| holding | 8.2 | |
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| digital | 8.1 | |
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| adult | 7.9 | |
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| male | 7.8 | |
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| health | 7.6 | |
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| fashion | 7.5 | |
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| doctor | 7.5 | |
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| clean | 7.5 | |
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| human | 7.5 | |
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| office | 7.2 | |
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| dress | 7.2 | |
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| fantasy | 7.2 | |
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| photographic equipment | 7.1 | |
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| worker | 7.1 | |
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| businessman | 7.1 | |
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| day | 7.1 | |
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| equipment | 7 | |
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Google
created on 2021-12-14
| Black-and-white | 85.7 | |
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| Gesture | 85.3 | |
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| Style | 84 | |
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| Art | 79.3 | |
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| Monochrome photography | 74.1 | |
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| Monochrome | 73.8 | |
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| Vintage clothing | 68.2 | |
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| Stock photography | 64.2 | |
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| Sitting | 62.2 | |
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| Room | 62.1 | |
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| Visual arts | 60.1 | |
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| Illustration | 58.1 | |
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| Paper | 56 | |
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| Paper product | 53.4 | |
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| Pattern | 53.3 | |
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| Retro style | 53.1 | |
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| Plant | 52.3 | |
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| Fictional character | 52.3 | |
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Color Analysis
Feature analysis
Categories
Imagga
| streetview architecture | 55.9% | |
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| paintings art | 40.3% | |
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| nature landscape | 2.1% | |
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| beaches seaside | 1.3% | |
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Captions
Microsoft
created on 2021-12-14
| text | 28.6% | |
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Text analysis
Amazon
CLUS