Machine Generated Data
Tags
Amazon
created on 2019-11-18
Clarifai
created on 2019-11-18
train | 99.6 | |
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people | 99.3 | |
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railway | 99.1 | |
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transportation system | 99.1 | |
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vehicle | 98.6 | |
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group together | 96.4 | |
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locomotive | 96.3 | |
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engine | 96.3 | |
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adult | 94.3 | |
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monochrome | 94.1 | |
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man | 92.9 | |
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street | 92.6 | |
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one | 91.6 | |
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war | 85.7 | |
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two | 84.9 | |
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driver | 81.9 | |
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group | 81.6 | |
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car | 80.3 | |
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wagon | 79.7 | |
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black and white | 77.1 | |
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Imagga
created on 2019-11-18
steam locomotive | 100 | |
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locomotive | 100 | |
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wheeled vehicle | 64.2 | |
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vehicle | 56.5 | |
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transportation | 48.4 | |
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train | 40 | |
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railway | 34.3 | |
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transport | 32.9 | |
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railroad | 32.4 | |
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track | 30.5 | |
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car | 25.9 | |
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engine | 25 | |
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rail | 23.6 | |
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travel | 21.8 | |
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industry | 20.5 | |
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steam | 20.4 | |
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power | 20.2 | |
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industrial | 20 | |
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old | 19.5 | |
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station | 18.9 | |
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road | 18.1 | |
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cargo | 17.5 | |
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passenger car | 16.8 | |
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steel | 15 | |
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vintage | 14.9 | |
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smoke | 14.9 | |
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fuel | 14.5 | |
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metal | 13.7 | |
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snow | 12.8 | |
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speed | 12.8 | |
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container | 12.7 | |
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freight | 12.7 | |
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wagon | 11.8 | |
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tracks | 11.8 | |
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move | 11.5 | |
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sky | 11.5 | |
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vessel | 11.2 | |
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oil | 11.1 | |
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line | 11.1 | |
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energy | 10.9 | |
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coal | 10.8 | |
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diesel | 10.8 | |
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delivery | 10.7 | |
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retro | 10.7 | |
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tank | 10.5 | |
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winter | 10.2 | |
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outdoors | 9.7 | |
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black | 9.6 | |
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urban | 9.6 | |
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traffic | 9.5 | |
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wheel | 9.4 | |
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outside | 9.4 | |
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street | 9.2 | |
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business | 9.1 | |
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truck | 9.1 | |
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technology | 8.9 | |
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logistics | 8.9 | |
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submarine | 8.8 | |
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highway | 8.7 | |
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gas | 8.7 | |
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ship | 8.6 | |
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trade | 8.6 | |
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journey | 8.5 | |
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iron | 8.4 | |
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passenger | 8.4 | |
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rural | 7.9 | |
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rails | 7.9 | |
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carriage | 7.9 | |
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subway | 7.9 | |
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platform | 7.9 | |
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mass | 7.8 | |
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shipping | 7.8 | |
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cold | 7.7 | |
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plane | 7.7 | |
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chemical | 7.7 | |
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motion | 7.7 | |
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drive | 7.6 | |
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horizontal | 7.5 | |
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electric | 7.5 | |
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city | 7.5 | |
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environment | 7.4 | |
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boiler | 7.1 | |
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Google
created on 2019-11-18
Transport | 96.9 | |
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Vehicle | 93.5 | |
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Railway | 91.5 | |
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Locomotive | 90.3 | |
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Train | 89.6 | |
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Rolling stock | 85.1 | |
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Steam engine | 69.7 | |
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Railroad car | 63.5 | |
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Track | 50.3 | |
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Microsoft
created on 2019-11-18
outdoor | 99.9 | |
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sky | 99.5 | |
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train | 99.2 | |
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tree | 97.7 | |
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railroad | 96.4 | |
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locomotive | 95.5 | |
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steam | 87.4 | |
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vehicle | 86.1 | |
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land vehicle | 85.2 | |
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black and white | 73.4 | |
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black | 66.4 | |
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old | 44.3 | |
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sidewalk | 30.6 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 19-31 |
Gender | Male, 53.3% |
Angry | 45.2% |
Calm | 45.1% |
Confused | 45.2% |
Disgusted | 45.1% |
Surprised | 45.1% |
Happy | 45% |
Sad | 46.6% |
Fear | 52.7% |
Feature analysis
Categories
Imagga
nature landscape | 54.4% | |
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cars vehicles | 45.4% | |
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Captions
Microsoft
created on 2019-11-18
a black and white photo of a train | 92.7% | |
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a person standing next to a train | 91.8% | |
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a group of people standing next to a train | 91.4% | |
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