Machine Generated Data
Tags
Amazon
created on 2019-11-18
| Clothing | 99.5 | |
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| Apparel | 99.5 | |
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| Person | 99.4 | |
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| Human | 99.4 | |
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| Person | 99 | |
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| Person | 98.8 | |
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| Person | 98.5 | |
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| Person | 82.6 | |
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| Female | 75.7 | |
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| Home Decor | 73 | |
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| Vehicle | 72.5 | |
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| Train | 72.5 | |
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| Transportation | 72.5 | |
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| People | 69 | |
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| Shorts | 67.3 | |
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| Fashion | 65.6 | |
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| Gown | 65.6 | |
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| Outdoors | 64 | |
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| Woman | 63.6 | |
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| Person | 62.2 | |
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| Handrail | 59.7 | |
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| Banister | 59.7 | |
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| Nature | 59.1 | |
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| Robe | 58.8 | |
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| Pedestrian | 58.6 | |
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| Dress | 57 | |
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| Overcoat | 57 | |
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| Coat | 57 | |
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| Building | 56.4 | |
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| Housing | 56.4 | |
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| Wedding | 56 | |
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| Hat | 55.9 | |
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| Villa | 55.9 | |
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| House | 55.9 | |
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| Tire | 55.8 | |
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Clarifai
created on 2019-11-18
| people | 99.9 | |
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| group together | 99 | |
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| group | 98.9 | |
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| adult | 97.9 | |
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| man | 97.2 | |
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| many | 96.8 | |
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| two | 95.5 | |
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| administration | 94.7 | |
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| several | 94.3 | |
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| one | 93.1 | |
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| leader | 92.1 | |
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| woman | 91.6 | |
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| three | 91.5 | |
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| vehicle | 90.4 | |
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| four | 88.8 | |
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| wear | 88.3 | |
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| religion | 87.2 | |
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| transportation system | 86.8 | |
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| recreation | 86.6 | |
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| furniture | 85.3 | |
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Imagga
created on 2019-11-18
Google
created on 2019-11-18
| Photograph | 96.6 | |
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| Snapshot | 84.5 | |
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| Black-and-white | 68.3 | |
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| Monochrome | 64.3 | |
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| House | 63.1 | |
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| Photography | 62.4 | |
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| Building | 58.4 | |
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| Home | 57 | |
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| Classic | 56.7 | |
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Microsoft
created on 2019-11-18
| outdoor | 88 | |
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| black and white | 88 | |
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| person | 87.8 | |
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| clothing | 79.3 | |
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| wedding dress | 58.1 | |
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Color Analysis
Feature analysis
Categories
Imagga
| streetview architecture | 88.8% | |
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| interior objects | 6.7% | |
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| paintings art | 2% | |
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| cars vehicles | 1.2% | |
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Captions
Microsoft
created on 2019-11-18
| a group of people sitting at a train station | 46.1% | |
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| a group of people standing in a train station | 46% | |
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| a group of people standing in front of a building | 45.9% | |
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