Machine Generated Data
Tags
Amazon
created on 2019-11-19
Metropolis | 98.2 | |
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Building | 98.2 | |
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Urban | 98.2 | |
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City | 98.2 | |
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Town | 98.2 | |
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Transportation | 86.8 | |
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Vehicle | 86.5 | |
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Pedestrian | 83.6 | |
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Train | 78.6 | |
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Road | 76.8 | |
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Machine | 74.5 | |
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Wheel | 74.5 | |
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Automobile | 71.8 | |
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Car | 71.8 | |
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Asphalt | 71.3 | |
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Tarmac | 71.3 | |
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Office Building | 63.6 | |
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Downtown | 59 | |
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Bike | 58.2 | |
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Bicycle | 58.2 | |
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Path | 58 | |
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Tire | 57.3 | |
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Architecture | 55.9 | |
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Spoke | 55.7 | |
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Clarifai
created on 2019-11-19
street | 99.1 | |
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monochrome | 98.8 | |
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people | 97.2 | |
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no person | 97 | |
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city | 96.8 | |
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architecture | 95.7 | |
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transportation system | 94.9 | |
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vehicle | 92.6 | |
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black and white | 92.3 | |
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travel | 92.2 | |
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building | 91.5 | |
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group | 91.3 | |
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light | 91.2 | |
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urban | 91 | |
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road | 88.2 | |
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many | 87.1 | |
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car | 85.4 | |
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group together | 83.2 | |
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indoors | 81 | |
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business | 80.5 | |
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Imagga
created on 2019-11-19
business district | 74.6 | |
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architecture | 71.7 | |
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city | 63.3 | |
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skyscraper | 58.7 | |
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building | 56 | |
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buildings | 51.1 | |
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urban | 44.7 | |
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downtown | 34.7 | |
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tower | 34.1 | |
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street | 32.3 | |
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sky | 30.8 | |
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office | 29.6 | |
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cityscape | 29.4 | |
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skyscrapers | 28.4 | |
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exterior | 26.8 | |
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structure | 26.4 | |
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skyline | 24.7 | |
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modern | 24.6 | |
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town | 24.2 | |
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tall | 23.6 | |
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bridge | 21.8 | |
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travel | 21.2 | |
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window | 20.9 | |
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new | 20.3 | |
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high | 19.1 | |
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landmark | 19 | |
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construction | 18.9 | |
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district | 18.5 | |
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facade | 18.4 | |
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windows | 18.3 | |
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business | 17.7 | |
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old | 17.5 | |
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center | 17 | |
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night | 16 | |
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glass | 14.8 | |
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pier | 14.7 | |
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river | 14.3 | |
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stone | 13.5 | |
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wall | 12.9 | |
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university | 12.9 | |
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corporate | 12.9 | |
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towers | 12.7 | |
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architectural | 12.5 | |
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financial | 12.5 | |
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scene | 12.1 | |
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famous | 12.1 | |
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cars | 11.8 | |
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support | 11.6 | |
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tourism | 11.6 | |
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traffic | 11.4 | |
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finance | 11 | |
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house | 10.9 | |
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road | 10.9 | |
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offices | 10.8 | |
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built | 10.6 | |
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apartment | 10.6 | |
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historic | 10.1 | |
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reflection | 9.8 | |
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united | 9.5 | |
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real | 9.5 | |
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commercial | 9.4 | |
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water | 9.4 | |
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church | 9.3 | |
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facades | 8.9 | |
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light | 8.7 | |
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state | 8.6 | |
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estate | 8.6 | |
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brick | 8.5 | |
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outdoor | 8.4 | |
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column | 8.3 | |
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detail | 8.1 | |
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metropolitan | 7.9 | |
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cathedral | 7.9 | |
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lights | 7.4 | |
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device | 7.3 | |
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tourist | 7.3 | |
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color | 7.2 | |
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history | 7.2 | |
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Google
created on 2019-11-19
Motor vehicle | 96.3 | |
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Black | 95.4 | |
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Vehicle | 86.8 | |
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Car | 84.8 | |
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Snapshot | 83.9 | |
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Black-and-white | 78.1 | |
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Automotive design | 72.3 | |
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Photography | 70.6 | |
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Monochrome | 70.2 | |
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Vintage car | 66.1 | |
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Compact car | 63.9 | |
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Stock photography | 59.4 | |
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Classic | 56.7 | |
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Classic car | 54.9 | |
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Family car | 51.5 | |
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Street | 51.1 | |
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Microsoft
created on 2019-11-19
text | 96.3 | |
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outdoor | 94.5 | |
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black and white | 93.7 | |
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building | 92 | |
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skyscraper | 89.4 | |
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car | 86.8 | |
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vehicle | 86 | |
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land vehicle | 84.8 | |
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street | 83.9 | |
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monochrome | 80.4 | |
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black | 73.9 | |
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white | 71.2 | |
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sky | 58.9 | |
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city | 58.2 | |
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wheel | 57.7 | |
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way | 53.3 | |
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crowd | 0.7 | |
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Color Analysis
Feature analysis
Text analysis
Amazon
Che
Y0S1.
Y49757
Y49757