Machine Generated Data
Tags
Amazon
created on 2022-01-09
Imagga
created on 2022-01-09
| city | 27.4 | |
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| blackboard | 27.3 | |
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| road | 22.6 | |
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| travel | 22.5 | |
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| landscape | 22.3 | |
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| architecture | 20.3 | |
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| urban | 20.1 | |
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| sky | 20 | |
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| traffic | 18 | |
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| water | 16.7 | |
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| highway | 16.4 | |
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| tourism | 15.7 | |
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| building | 15.2 | |
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| street | 14.7 | |
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| light | 14.7 | |
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| structure | 14.4 | |
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| night | 14.2 | |
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| cityscape | 14.2 | |
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| car | 13.8 | |
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| sea | 12.6 | |
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| transportation | 12.5 | |
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| scene | 11.2 | |
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| television | 11 | |
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| bridge | 10.4 | |
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| cloud | 10.3 | |
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| town | 10.2 | |
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| clouds | 10.1 | |
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| tourist | 10 | |
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| landmark | 9.9 | |
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| driving | 9.7 | |
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| summer | 9.6 | |
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| skyscraper | 9.6 | |
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| skyline | 9.5 | |
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| drive | 9.5 | |
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| field | 9.2 | |
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| outdoor | 9.2 | |
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| speed | 9.2 | |
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| wall | 9.1 | |
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| speedway | 9.1 | |
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| old | 9.1 | |
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| tower | 8.9 | |
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| asphalt | 8.8 | |
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| equipment | 8.8 | |
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| sink | 8.7 | |
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| container | 8.6 | |
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| line | 8.6 | |
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| buildings | 8.5 | |
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| famous | 8.4 | |
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| lights | 8.3 | |
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| monitor | 8.3 | |
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| center | 8.2 | |
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| horizon | 8.1 | |
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| history | 8 | |
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| freeway | 7.9 | |
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| empty | 7.7 | |
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| downtown | 7.7 | |
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| dark | 7.5 | |
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| ocean | 7.5 | |
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| transport | 7.3 | |
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| vessel | 7.1 | |
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| electronic equipment | 7.1 | |
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| day | 7.1 | |
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| facility | 7 | |
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Google
created on 2022-01-09
| Rectangle | 88.3 | |
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| Monochrome | 69 | |
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| Font | 68.8 | |
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| Monochrome photography | 66.5 | |
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| Window | 65.2 | |
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| Room | 62 | |
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| Sky | 62 | |
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| Net | 59.2 | |
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| Symmetry | 58.9 | |
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| Sport venue | 58 | |
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| Sports | 54.3 | |
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| Tree | 53.2 | |
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Microsoft
created on 2022-01-09
| text | 99.4 | |
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| black and white | 92.2 | |
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| white | 62.3 | |
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Feature analysis
Amazon
| Person | 99.4% | |
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Captions
Microsoft
| an old photo of a train | 55% | |
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| old photo of a train | 49.3% | |
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| an old photo of a train on the tracks | 45.4% | |
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Text analysis
Amazon
10
19745.
--
19745.
I
19745.
I --
19745.
10
10