Machine Generated Data
Tags
Amazon
created on 2019-11-18
| Human | 99.8 | |
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| Person | 99.8 | |
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| Locomotive | 99.7 | |
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| Vehicle | 99.7 | |
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| Transportation | 99.7 | |
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| Train | 99.1 | |
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| Motor | 92.6 | |
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| Steam Engine | 92.6 | |
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| Machine | 92.6 | |
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| Engine | 92.6 | |
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| Train | 82.8 | |
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| Wheel | 61.9 | |
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Clarifai
created on 2019-11-18
| transportation system | 98.5 | |
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| train | 98.5 | |
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| vehicle | 98.2 | |
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| railway | 97.9 | |
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| engine | 96.9 | |
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| people | 96.7 | |
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| vintage | 94.2 | |
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| military | 93.5 | |
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| no person | 93 | |
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| war | 92.6 | |
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| old | 90.7 | |
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| retro | 85 | |
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| adult | 83.5 | |
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| condensation | 82.5 | |
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| man | 82.4 | |
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| group together | 82.3 | |
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| sepia | 80 | |
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| locomotive | 76.8 | |
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| group | 76.1 | |
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| weapon | 75.5 | |
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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 | 71.1 | |
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| vehicle | 36.7 | |
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| steam | 25.2 | |
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| old | 21.6 | |
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| sky | 20.4 | |
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| architecture | 20.3 | |
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| smoke | 19.5 | |
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| train | 19.3 | |
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| travel | 18.3 | |
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| industry | 17.1 | |
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| railway | 16.7 | |
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| industrial | 16.3 | |
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| transportation | 16.1 | |
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| history | 16.1 | |
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| railroad | 15.7 | |
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| transport | 15.5 | |
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| building | 15.1 | |
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| boiler | 14.6 | |
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| engine | 14.4 | |
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| track | 14.4 | |
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| tower | 14.3 | |
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| power | 14.3 | |
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| construction | 12.8 | |
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| vintage | 12.4 | |
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| structure | 12.4 | |
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| cloud | 12.1 | |
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| landscape | 11.9 | |
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| steel | 11.5 | |
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| water | 11.3 | |
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| city | 10.8 | |
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| vessel | 10.6 | |
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| station | 10.6 | |
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| pollution | 10.6 | |
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| cold | 10.3 | |
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| black | 10.2 | |
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| house | 10 | |
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| tourism | 9.9 | |
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| vacation | 9.8 | |
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| metal | 9.7 | |
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| factory | 9.7 | |
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| religion | 9 | |
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| outdoors | 9 | |
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| coal | 8.9 | |
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| rail | 8.8 | |
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| pipe | 8.7 | |
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| gas | 8.7 | |
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| container | 8.6 | |
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| sculpture | 8.6 | |
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| culture | 8.5 | |
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| winter | 8.5 | |
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| snow | 8.3 | |
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| technology | 8.2 | |
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| clouds | 7.6 | |
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| historical | 7.5 | |
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| iron | 7.5 | |
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| environment | 7.4 | |
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| trees | 7.1 | |
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| work | 7.1 | |
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| sea | 7 | |
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Google
created on 2019-11-18
| Transport | 92.2 | |
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| Railway | 69.7 | |
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| Locomotive | 68.4 | |
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| Vehicle | 67.9 | |
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| Black-and-white | 56.4 | |
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| Rolling stock | 55.3 | |
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| Train | 54.3 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 16-28 |
| Gender | Male, 50.2% |
| Confused | 49.5% |
| Surprised | 49.5% |
| Disgusted | 49.5% |
| Sad | 50% |
| Fear | 49.6% |
| Happy | 49.6% |
| Angry | 49.6% |
| Calm | 49.7% |
Feature analysis
Categories
Imagga
| paintings art | 98.7% | |
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| streetview architecture | 1.1% | |
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Captions
Microsoft
created on 2019-11-18
| a vintage photo of a train | 95.7% | |
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| a vintage photo of an old steam engine train | 90.1% | |
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| a vintage photo of a train on a steel track | 90% | |
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