Machine Generated Data
Tags
Amazon
created on 2019-05-29
Clarifai
created on 2019-05-29
vehicle | 99.7 | |
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transportation system | 99.3 | |
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no person | 98 | |
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car | 92.6 | |
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people | 92.4 | |
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aircraft | 90.9 | |
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watercraft | 90.5 | |
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monochrome | 82.3 | |
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military | 81.9 | |
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travel | 81.4 | |
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airplane | 80.4 | |
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engine | 77.5 | |
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road | 77.3 | |
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street | 76.7 | |
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group together | 76.5 | |
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group | 74.8 | |
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war | 73.6 | |
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outdoors | 73.5 | |
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industry | 72.1 | |
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retro | 71.6 | |
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Imagga
created on 2019-05-29
car | 72.7 | |
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passenger car | 65.5 | |
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vehicle | 63.7 | |
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wheeled vehicle | 53.3 | |
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transportation | 35.9 | |
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conveyance | 32 | |
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travel | 28.2 | |
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sky | 25 | |
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transport | 23.8 | |
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ship | 20 | |
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truck | 19.5 | |
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road | 19 | |
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boat | 18.1 | |
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industry | 17.1 | |
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port | 15.4 | |
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bus | 15.2 | |
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sea | 14.9 | |
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locomotive | 14.8 | |
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engine | 14.4 | |
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vessel | 13 | |
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cargo | 12.6 | |
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driving | 12.6 | |
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highway | 12.5 | |
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harbor | 12.5 | |
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passenger | 12.5 | |
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power | 11.8 | |
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dock | 11.7 | |
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city | 11.6 | |
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ocean | 11.6 | |
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tourism | 11.6 | |
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business | 11.5 | |
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light | 11.4 | |
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urban | 11.4 | |
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clouds | 11 | |
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water | 10.7 | |
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train | 10.7 | |
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steamroller | 10.7 | |
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school bus | 10.6 | |
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shipping | 10.6 | |
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traffic | 10.5 | |
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cloud | 10.3 | |
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summer | 10.3 | |
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street | 10.1 | |
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speed | 10.1 | |
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freight | 9.8 | |
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old | 9.8 | |
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trailer | 9.6 | |
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airplane | 9.6 | |
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day | 9.4 | |
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liner | 9.1 | |
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industrial | 9.1 | |
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station | 9.1 | |
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vacation | 9 | |
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track | 8.9 | |
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landscape | 8.9 | |
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pier | 8.8 | |
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delivery | 8.8 | |
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public transport | 8.7 | |
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tramway | 8.6 | |
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drive | 8.5 | |
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wheel | 8.5 | |
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color | 8.3 | |
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tourist | 8.2 | |
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grille | 8.1 | |
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grass | 7.9 | |
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scenic | 7.9 | |
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logistics | 7.9 | |
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bay | 7.6 | |
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trip | 7.5 | |
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outdoors | 7.5 | |
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streetcar | 7.4 | |
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motor vehicle | 7.4 | |
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land | 7.4 | |
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yellow | 7.3 | |
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Google
created on 2019-05-29
Motor vehicle | 98.2 | |
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Vehicle | 92.4 | |
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Transport | 91.2 | |
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Car | 85.9 | |
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Classic | 85.2 | |
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Vintage car | 73.9 | |
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Classic car | 57.8 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 26-43 |
Gender | Female, 50.2% |
Disgusted | 49.6% |
Happy | 49.5% |
Sad | 50.1% |
Calm | 49.6% |
Angry | 49.6% |
Surprised | 49.6% |
Confused | 49.6% |
Feature analysis
Text analysis
Amazon
TBDB
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