Machine Generated Data
Tags
Amazon
created on 2019-11-18
Locomotive | 96.5 | |
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Vehicle | 96.5 | |
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Transportation | 96.5 | |
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Machine | 94.3 | |
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Train | 87.5 | |
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Motor | 73.4 | |
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Engine | 69.7 | |
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Steam Engine | 65.1 | |
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Spoke | 55.6 | |
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Military | 55 | |
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Clarifai
created on 2019-11-18
train | 98.2 | |
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monochrome | 98.2 | |
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transportation system | 98.1 | |
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people | 98 | |
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railway | 96.9 | |
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locomotive | 95.5 | |
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light | 95.1 | |
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vehicle | 93.5 | |
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street | 93.4 | |
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man | 89.9 | |
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no person | 89.6 | |
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travel | 88.5 | |
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group | 87.1 | |
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indoors | 87 | |
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adult | 86.5 | |
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city | 86.4 | |
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subway system | 86.2 | |
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shadow | 85.8 | |
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black and white | 83.8 | |
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industry | 83.1 | |
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Imagga
created on 2019-11-18
architecture | 27 | |
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building | 25.4 | |
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equipment | 20.7 | |
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old | 19.5 | |
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city | 19.1 | |
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sky | 17.2 | |
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amplifier | 15.8 | |
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travel | 15.5 | |
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lamp | 15.4 | |
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structure | 14.6 | |
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tower | 14.3 | |
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electronic equipment | 14.1 | |
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industry | 13.7 | |
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device | 13.3 | |
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urban | 13.1 | |
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construction | 12.8 | |
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industrial | 12.7 | |
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factory | 12.7 | |
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house | 12.6 | |
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furniture | 12.5 | |
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light | 11.4 | |
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bridge | 11.3 | |
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tourism | 10.7 | |
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water | 10.7 | |
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business | 10.3 | |
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town | 10.2 | |
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street | 10.1 | |
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room | 9.8 | |
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night | 9.8 | |
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interior | 9.7 | |
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home | 9.6 | |
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design | 9.6 | |
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scene | 9.5 | |
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ship | 9.4 | |
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center | 9.4 | |
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boat | 9.4 | |
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wall | 9.2 | |
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modern | 9.1 | |
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landmark | 9 | |
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steel | 9 | |
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metal | 8.8 | |
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window | 8.8 | |
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sea | 8.7 | |
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skyline | 8.5 | |
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cityscape | 8.5 | |
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stone | 8.4 | |
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iron | 8.4 | |
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style | 8.2 | |
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dirty | 8.1 | |
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radio | 8 | |
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work | 7.9 | |
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manufacturing | 7.8 | |
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vessel | 7.8 | |
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roof | 7.8 | |
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apartment | 7.7 | |
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buildings | 7.6 | |
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power | 7.6 | |
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famous | 7.4 | |
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floor | 7.4 | |
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landscape | 7.4 | |
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technology | 7.4 | |
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exterior | 7.4 | |
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clock | 7.3 | |
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black | 7.2 | |
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wooden | 7 | |
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machine | 7 | |
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Google
created on 2019-11-18
Vehicle | 78 | |
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Monochrome | 60.1 | |
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Black-and-white | 56.4 | |
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Watercraft | 54.9 | |
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Ship | 52.9 | |
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Microsoft
created on 2019-11-18
text | 91.8 | |
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ship | 88.4 | |
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white | 81.7 | |
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black and white | 71.3 | |
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black | 69.8 | |
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Color Analysis
Feature analysis
Amazon
Train | 87.5% | |
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Text analysis
GEFN
GEFN