Machine Generated Data
Tags
Amazon
created on 2019-05-29
| Train Track | 99.9 | |
|
| ||
| Railway | 99.9 | |
|
| ||
| Transportation | 99.9 | |
|
| ||
| Rail | 99.9 | |
|
| ||
| Vehicle | 97.7 | |
|
| ||
| Train | 97.7 | |
|
| ||
| Locomotive | 91.3 | |
|
| ||
| Train | 69.7 | |
|
| ||
| Train | 62.2 | |
|
| ||
| Shipping Container | 57.6 | |
|
| ||
Clarifai
created on 2019-05-29
| smoke | 99.7 | |
|
| ||
| railway | 99.6 | |
|
| ||
| train | 99.3 | |
|
| ||
| transportation system | 99 | |
|
| ||
| vehicle | 98.8 | |
|
| ||
| condensation | 98.2 | |
|
| ||
| engine | 97 | |
|
| ||
| people | 96.9 | |
|
| ||
| locomotive | 93.6 | |
|
| ||
| calamity | 92.4 | |
|
| ||
| industry | 90.6 | |
|
| ||
| track | 90.3 | |
|
| ||
| no person | 84.7 | |
|
| ||
| coal | 83.9 | |
|
| ||
| accident | 81.5 | |
|
| ||
| flame | 79.9 | |
|
| ||
| war | 78.1 | |
|
| ||
| group together | 77.7 | |
|
| ||
| road | 77.5 | |
|
| ||
| military | 76.3 | |
|
| ||
Imagga
created on 2019-05-29
| steam locomotive | 100 | |
|
| ||
| locomotive | 100 | |
|
| ||
| wheeled vehicle | 79.7 | |
|
| ||
| vehicle | 51.7 | |
|
| ||
| train | 39.5 | |
|
| ||
| railway | 38.3 | |
|
| ||
| railroad | 35.4 | |
|
| ||
| transportation | 35 | |
|
| ||
| steam | 35 | |
|
| ||
| transport | 32 | |
|
| ||
| smoke | 30.7 | |
|
| ||
| track | 26.3 | |
|
| ||
| engine | 25 | |
|
| ||
| sky | 24.9 | |
|
| ||
| industry | 23.1 | |
|
| ||
| rail | 21.6 | |
|
| ||
| old | 20.9 | |
|
| ||
| travel | 20.4 | |
|
| ||
| industrial | 19.1 | |
|
| ||
| road | 18.1 | |
|
| ||
| power | 16 | |
|
| ||
| landscape | 15.6 | |
|
| ||
| freight | 14.7 | |
|
| ||
| station | 14.5 | |
|
| ||
| rural | 14.1 | |
|
| ||
| vintage | 14.1 | |
|
| ||
| tracks | 13.8 | |
|
| ||
| pollution | 13.5 | |
|
| ||
| outdoors | 13.5 | |
|
| ||
| snow | 13.4 | |
|
| ||
| outside | 12.9 | |
|
| ||
| environment | 12.3 | |
|
| ||
| cargo | 11.6 | |
|
| ||
| factory | 11.6 | |
|
| ||
| line | 11.2 | |
|
| ||
| danger | 10.9 | |
|
| ||
| coal | 10.8 | |
|
| ||
| retro | 10.7 | |
|
| ||
| steel | 10.6 | |
|
| ||
| cloud | 10.3 | |
|
| ||
| clouds | 10.1 | |
|
| ||
| rails | 8.9 | |
|
| ||
| metal | 8.9 | |
|
| ||
| chimney | 8.8 | |
|
| ||
| exteriors | 8.8 | |
|
| ||
| fuel | 8.7 | |
|
| ||
| cold | 8.6 | |
|
| ||
| winter | 8.5 | |
|
| ||
| trip | 8.5 | |
|
| ||
| environmental | 8.5 | |
|
| ||
| fire | 8.4 | |
|
| ||
| scenery | 8.1 | |
|
| ||
| steam train | 7.9 | |
|
| ||
| steam engine | 7.9 | |
|
| ||
| platform | 7.9 | |
|
| ||
| forest | 7.8 | |
|
| ||
| black | 7.8 | |
|
| ||
| chemical | 7.7 | |
|
| ||
| tree | 7.7 | |
|
| ||
| move | 7.7 | |
|
| ||
| way | 7.6 | |
|
| ||
| drive | 7.6 | |
|
| ||
| energy | 7.6 | |
|
| ||
| wheel | 7.6 | |
|
| ||
| journey | 7.5 | |
|
| ||
| car | 7.5 | |
|
| ||
| cloudy | 7.5 | |
|
| ||
| iron | 7.5 | |
|
| ||
| heat | 7.4 | |
|
| ||
| speed | 7.3 | |
|
| ||
| countryside | 7.3 | |
|
| ||
| global | 7.3 | |
|
| ||
| dirty | 7.2 | |
|
| ||
| trees | 7.1 | |
|
| ||
Google
created on 2019-05-29
| Transport | 98.4 | |
|
| ||
| Locomotive | 94.9 | |
|
| ||
| Steam | 94.7 | |
|
| ||
| Railway | 94.4 | |
|
| ||
| Vehicle | 93.8 | |
|
| ||
| Train | 90.3 | |
|
| ||
| Mode of transport | 89.1 | |
|
| ||
| Rolling stock | 88.8 | |
|
| ||
| Steam engine | 88.3 | |
|
| ||
| Track | 84.3 | |
|
| ||
| Railroad car | 76.8 | |
|
| ||
| Rolling | 65.5 | |
|
| ||
| Auto part | 61.2 | |
|
| ||
| Automotive engine part | 53 | |
|
| ||
Color Analysis
Feature analysis
Categories
Imagga
| cars vehicles | 99.9% | |
|
| ||
Captions
Microsoft
created on 2019-05-29
| a vintage photo of a train on a track | 93.2% | |
|
| ||
| a black and white photo of a train | 93.1% | |
|
| ||
| a vintage photo of a train | 93% | |
|
| ||
Text analysis
Amazon
Seor