Machine Generated Data
Tags
Amazon
created on 2019-05-29
| Railway | 99.4 | |
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| Train Track | 99.4 | |
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| Rail | 99.4 | |
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| Transportation | 99.4 | |
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| Train | 99.1 | |
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| Vehicle | 99.1 | |
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| Human | 98.5 | |
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| Person | 98.5 | |
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| Locomotive | 98.2 | |
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| Machine | 83.9 | |
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| Engine | 78 | |
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| Motor | 78 | |
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| Steam Engine | 78 | |
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| Path | 55.5 | |
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Clarifai
created on 2019-05-29
| train | 99.9 | |
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| railway | 99.9 | |
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| transportation system | 99.8 | |
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| locomotive | 99.7 | |
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| vehicle | 99.4 | |
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| track | 99.3 | |
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| engine | 98.4 | |
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| people | 98.3 | |
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| bridge | 96.8 | |
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| condensation | 92.4 | |
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| man | 92.1 | |
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| group together | 91.8 | |
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| adult | 91.4 | |
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| action | 90.3 | |
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| road | 89.7 | |
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| war | 87.1 | |
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| one | 86.2 | |
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| wagon | 85.7 | |
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| smoke | 84.6 | |
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| industry | 84.5 | |
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Imagga
created on 2019-05-29
| locomotive | 50 | |
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| steam locomotive | 46.4 | |
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| track | 34 | |
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| train | 24.3 | |
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| railway | 21.6 | |
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| wheeled vehicle | 20.8 | |
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| transportation | 20.6 | |
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| travel | 19 | |
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| industry | 18.8 | |
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| railroad | 17.7 | |
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| transport | 17.3 | |
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| sky | 16.8 | |
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| old | 16.7 | |
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| city | 16.6 | |
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| rail | 15.7 | |
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| industrial | 15.4 | |
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| steel | 15.3 | |
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| landscape | 14.9 | |
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| vehicle | 14.9 | |
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| bridge | 13.7 | |
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| steam | 13.6 | |
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| water | 13.3 | |
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| structure | 13 | |
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| building | 12.9 | |
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| construction | 12.8 | |
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| outdoors | 11.9 | |
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| park | 11.9 | |
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| architecture | 11.9 | |
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| power | 11.7 | |
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| station | 11.6 | |
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| river | 11.6 | |
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| vacation | 11.5 | |
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| urban | 11.4 | |
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| road | 10.8 | |
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| semaphore | 10.7 | |
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| engine | 10.6 | |
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| device | 10.5 | |
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| journey | 10.3 | |
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| outside | 9.4 | |
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| iron | 9.3 | |
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| outdoor | 9.2 | |
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| tracks | 8.8 | |
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| line | 8.8 | |
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| vessel | 8.8 | |
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| support | 8.7 | |
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| apparatus | 8.6 | |
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| way | 8.6 | |
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| sea | 8.6 | |
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| winter | 8.5 | |
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| vintage | 8.3 | |
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| tourism | 8.2 | |
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| equipment | 8.1 | |
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| man | 8.1 | |
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| metal | 8 | |
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| antique | 7.8 | |
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| wheel | 7.5 | |
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| tie | 7.4 | |
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| lake | 7.3 | |
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| business | 7.3 | |
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| tower | 7.2 | |
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| history | 7.2 | |
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| summer | 7.1 | |
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Google
created on 2019-05-29
| Transport | 97.1 | |
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| Railway | 92 | |
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| Train | 85.5 | |
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| Mode of transport | 83.9 | |
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| Track | 83.3 | |
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| Black-and-white | 82.7 | |
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| Steam engine | 82.3 | |
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| Vehicle | 82.2 | |
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| Locomotive | 81.6 | |
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| Rolling stock | 79.4 | |
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| Railroad car | 78.5 | |
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| Stock photography | 71.8 | |
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| Rolling | 71.1 | |
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| Monochrome | 70.2 | |
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| Photography | 67.8 | |
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| Auto part | 61.2 | |
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| Monochrome photography | 57.8 | |
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| Steam | 54.8 | |
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Microsoft
created on 2019-05-29
| train | 99.6 | |
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| outdoor | 99.3 | |
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| sky | 98.8 | |
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| bridge | 95.3 | |
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| track | 94.4 | |
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| vehicle | 82.9 | |
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| land vehicle | 78.4 | |
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| locomotive | 67.6 | |
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| fog | 62.9 | |
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| black and white | 62.2 | |
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| traveling | 36.5 | |
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| railroad | 29.1 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 50.5% |
| Sad | 49.5% |
| Disgusted | 49.5% |
| Angry | 49.5% |
| Happy | 49.5% |
| Surprised | 49.6% |
| Confused | 49.5% |
| Calm | 50.3% |
Feature analysis
Categories
Imagga
| nature landscape | 49.5% | |
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| cars vehicles | 27.1% | |
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| streetview architecture | 18.8% | |
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| paintings art | 1.4% | |
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| beaches seaside | 1.2% | |
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Captions
Microsoft
created on 2019-05-29
| a train traveling over a bridge | 90.4% | |
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| a train traveling under a bridge | 90% | |
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| a train traveling down train tracks next to a bridge | 85.3% | |
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