Machine Generated Data
Tags
Amazon
created on 2019-03-26
Transportation | 99.3 | |
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Vehicle | 99.3 | |
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Train | 99.3 | |
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Cable Car | 93.5 | |
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Tram | 66.7 | |
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Trolley | 66.7 | |
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Streetcar | 66.7 | |
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Passenger Car | 59.8 | |
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Clarifai
created on 2019-03-26
Imagga
created on 2019-03-26
passenger car | 100 | |
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car | 100 | |
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wheeled vehicle | 93.4 | |
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vehicle | 91.1 | |
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conveyance | 56.9 | |
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transportation | 55.6 | |
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transport | 48.4 | |
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train | 47.2 | |
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travel | 37.3 | |
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tramway | 34.1 | |
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railroad | 27.5 | |
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station | 26.1 | |
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rail | 24.5 | |
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railway | 24.5 | |
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streetcar | 24.1 | |
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bus | 22.6 | |
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track | 20.2 | |
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passenger | 19.9 | |
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urban | 19.2 | |
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city | 19.1 | |
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wagon | 17.8 | |
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transit | 17.7 | |
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speed | 17.4 | |
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public | 16.5 | |
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engine | 16.4 | |
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road | 16.2 | |
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traffic | 16.1 | |
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old | 15.3 | |
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journey | 15.1 | |
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electric | 15 | |
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subway | 14.8 | |
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street | 14.7 | |
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locomotive | 13.9 | |
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line | 13.7 | |
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window | 12.8 | |
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tourist | 12.7 | |
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tourism | 12.4 | |
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metal | 12.1 | |
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tram | 11.9 | |
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commuter | 11.8 | |
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motion | 11.1 | |
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commute | 10.9 | |
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tracks | 10.8 | |
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vacation | 10.6 | |
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steel | 10.6 | |
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cable | 10.5 | |
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door | 10.5 | |
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drive | 10.4 | |
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trip | 10.4 | |
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vintage | 9.9 | |
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metro | 9.8 | |
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platform | 9.8 | |
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tour | 9.7 | |
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fast | 9.3 | |
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power | 9.2 | |
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modern | 9.1 | |
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public transport | 9 | |
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technology | 8.9 | |
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rails | 8.9 | |
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coach | 8.9 | |
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subway train | 8.7 | |
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architecture | 8.6 | |
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way | 8.5 | |
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industry | 8.5 | |
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wheel | 8.5 | |
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sky | 8.3 | |
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business | 7.9 | |
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underground | 7.9 | |
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diesel | 7.9 | |
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driver | 7.8 | |
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cargo | 7.8 | |
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ride | 7.8 | |
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move | 7.7 | |
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perspective | 7.5 | |
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traditional | 7.5 | |
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container | 7.4 | |
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long | 7.3 | |
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building | 7.1 | |
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interior | 7.1 | |
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Google
created on 2019-03-26
Transport | 96.3 | |
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Vehicle | 95.1 | |
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Rolling stock | 90.9 | |
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Tram | 85.1 | |
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Mode of transport | 83.9 | |
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Passenger car | 79.4 | |
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Railroad car | 70.7 | |
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Public transport | 67.6 | |
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Train | 60.9 | |
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Car | 54.8 | |
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Railway | 51.6 | |
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Color Analysis
Feature analysis
Amazon
Train | 99.3% | |
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Text analysis
Amazon
3
2
-5