Machine Generated Data
Tags
Amazon
created on 2019-05-29
Clarifai
created on 2019-05-29
people | 98.8 | |
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vehicle | 90.7 | |
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no person | 89.6 | |
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industry | 89.4 | |
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grinder | 89.1 | |
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art | 87.7 | |
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adult | 86.8 | |
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group | 85.7 | |
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watercraft | 85.2 | |
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street | 85 | |
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one | 84 | |
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monochrome | 83.9 | |
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old | 83.2 | |
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transportation system | 82 | |
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wear | 81.9 | |
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retro | 81.1 | |
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man | 78.6 | |
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vintage | 78 | |
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production | 75.4 | |
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military | 74 | |
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Imagga
created on 2019-05-29
architecture | 31.1 | |
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building | 28.9 | |
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old | 27.9 | |
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wall | 23.3 | |
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structure | 21.3 | |
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urban | 21 | |
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city | 20.8 | |
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warehouse | 19.7 | |
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texture | 18.1 | |
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grunge | 17.9 | |
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device | 17.2 | |
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film | 16.6 | |
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window | 16.2 | |
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house | 15.9 | |
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construction | 15.4 | |
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vintage | 15 | |
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brick | 14.5 | |
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ancient | 13.8 | |
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negative | 13.6 | |
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step | 13.4 | |
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dirty | 12.6 | |
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concrete | 12.4 | |
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latch | 12.4 | |
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pattern | 12.3 | |
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town | 12.1 | |
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home | 12 | |
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art | 11.9 | |
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support | 11.8 | |
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frame | 11.6 | |
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retro | 11.5 | |
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antique | 11.3 | |
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metal | 11.3 | |
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modern | 11.2 | |
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historic | 11 | |
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aged | 10.9 | |
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fastener | 10.6 | |
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rust | 10.6 | |
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business | 10.3 | |
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design | 10.1 | |
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light | 10 | |
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door | 9.7 | |
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brown | 9.6 | |
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paper | 9.5 | |
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shop | 9.4 | |
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industry | 9.4 | |
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exterior | 9.2 | |
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catch | 9.1 | |
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new | 8.9 | |
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detail | 8.8 | |
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glass | 8.7 | |
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grungy | 8.5 | |
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buildings | 8.5 | |
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container | 8.4 | |
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wood | 8.3 | |
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material | 8.3 | |
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slide | 7.8 | |
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strip | 7.8 | |
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sky | 7.7 | |
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dark | 7.5 | |
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street | 7.4 | |
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restraint | 7.3 | |
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backgrounds | 7.3 | |
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rough | 7.3 | |
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industrial | 7.3 | |
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textured | 7 | |
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Google
created on 2019-05-29
Monochrome | 88.3 | |
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Black-and-white | 87.2 | |
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Monochrome photography | 84.4 | |
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Still life photography | 80.7 | |
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Photography | 73.8 | |
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Font | 68.6 | |
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Stock photography | 67.6 | |
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Architecture | 65.5 | |
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Still life | 60.2 | |
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Style | 55 | |
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Art | 50.2 | |
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Microsoft
created on 2019-05-29
ship | 99.4 | |
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watercraft | 93.5 | |
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boat | 92.2 | |
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black and white | 65 | |
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Color Analysis
Feature analysis
Amazon
Train | 55.2% | |
|
Text analysis
Amazon
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