Machine Generated Data
Tags
Amazon
created on 2019-11-18
| Wheel | 99.9 | |
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| Machine | 99.9 | |
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| Wheel | 99.8 | |
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| Train | 99.2 | |
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| Transportation | 99.2 | |
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| Vehicle | 99.2 | |
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| Wheel | 99.1 | |
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| Locomotive | 99 | |
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| Human | 98 | |
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| Person | 98 | |
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| Train Track | 97.4 | |
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| Rail | 97.4 | |
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| Railway | 97.4 | |
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| Engine | 88.2 | |
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| Motor | 88.2 | |
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| Steam Engine | 86.8 | |
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| Wheel | 77.2 | |
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| Person | 77.1 | |
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Clarifai
created on 2019-11-18
| train | 99.9 | |
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| railway | 99.7 | |
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| transportation system | 99.6 | |
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| engine | 99.2 | |
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| vehicle | 99 | |
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| locomotive | 97.7 | |
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| carriage | 94.8 | |
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| people | 93.4 | |
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| wagon | 92.7 | |
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| track | 90.8 | |
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| condensation | 89.2 | |
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| vintage | 84.9 | |
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| group together | 84.6 | |
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| monochrome | 83 | |
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| no person | 82.6 | |
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| driver | 73.5 | |
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| retro | 73.1 | |
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| adult | 71.8 | |
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| tank | 69.1 | |
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| war | 69 | |
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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 | 79.3 | |
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| vehicle | 55.4 | |
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| train | 51 | |
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| transportation | 43 | |
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| railroad | 42.2 | |
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| railway | 42.2 | |
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| transport | 41.1 | |
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| engine | 34.7 | |
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| track | 31.9 | |
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| rail | 29.5 | |
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| steam | 29.1 | |
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| old | 27.2 | |
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| power | 22.7 | |
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| industry | 22.2 | |
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| travel | 20.4 | |
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| station | 20.3 | |
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| tracks | 19.7 | |
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| steel | 18.6 | |
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| industrial | 18.2 | |
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| vintage | 16.6 | |
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| smoke | 15.8 | |
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| metal | 15.3 | |
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| iron | 14.9 | |
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| cargo | 13.6 | |
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| freight | 12.7 | |
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| rusty | 12.4 | |
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| antique | 12.1 | |
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| sky | 12.1 | |
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| coal | 11.8 | |
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| platform | 11.8 | |
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| retro | 11.5 | |
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| machine | 11.4 | |
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| wheel | 11.3 | |
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| history | 10.7 | |
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| car | 10.6 | |
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| line | 10.3 | |
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| outdoors | 9.7 | |
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| rural | 9.7 | |
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| black | 9.6 | |
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| urban | 9.6 | |
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| outside | 9.4 | |
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| electric | 9.4 | |
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| historic | 9.2 | |
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| city | 9.1 | |
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| road | 9 | |
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| rails | 8.9 | |
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| wagon | 8.9 | |
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| tank | 8.8 | |
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| building | 8.7 | |
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| old fashioned | 8.6 | |
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| energy | 8.4 | |
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| subway | 7.9 | |
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| container | 7.8 | |
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| wheels | 7.8 | |
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| machinery | 7.8 | |
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| rust | 7.7 | |
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| heavy | 7.6 | |
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| speed | 7.3 | |
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| architecture | 7 | |
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Google
created on 2019-11-18
| Transport | 98.2 | |
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| Locomotive | 96 | |
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| Steam engine | 95.4 | |
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| Vehicle | 95.1 | |
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| Railway | 92.9 | |
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| Mode of transport | 91.2 | |
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| Train | 90.3 | |
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| Rolling stock | 83.8 | |
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| Auto part | 76.2 | |
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| Railroad car | 73.8 | |
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| Automotive engine part | 70.5 | |
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| Track | 64.5 | |
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| Steam | 63.3 | |
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| Public transport | 62.6 | |
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| Rolling | 59.2 | |
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| Engine | 58.2 | |
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| Wheel | 52.5 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 36-54 |
| Gender | Male, 51.6% |
| Surprised | 45% |
| Calm | 46.1% |
| Disgusted | 45% |
| Fear | 45% |
| Happy | 45% |
| Angry | 45.1% |
| Sad | 53.6% |
| Confused | 45.1% |
Feature analysis
Categories
Imagga
| cars vehicles | 88.7% | |
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| interior objects | 11.1% | |
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Captions
Microsoft
created on 2019-11-18
| a black and white photo of a train | 96.7% | |
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| an old black and white photo of a train | 96.4% | |
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| a vintage photo of a train | 96.3% | |
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Text analysis
Amazon
890
P31
P31 LEASUENLINE
LEASUENLINE
902
890
EISUENLINE
P31
902
890
EISUENLINE
P31