Machine Generated Data
Tags
Amazon
created on 2019-05-29
| Locomotive | 99.9 | |
|
| ||
| Vehicle | 99.9 | |
|
| ||
| Transportation | 99.9 | |
|
| ||
| Human | 99.7 | |
|
| ||
| Person | 99.7 | |
|
| ||
| Person | 99.6 | |
|
| ||
| Train | 99 | |
|
| ||
| Person | 98.3 | |
|
| ||
| Machine | 98 | |
|
| ||
| Engine | 98 | |
|
| ||
| Steam Engine | 98 | |
|
| ||
| Motor | 98 | |
|
| ||
Clarifai
created on 2019-05-29
Imagga
created on 2019-05-29
| steam locomotive | 100 | |
|
| ||
| locomotive | 100 | |
|
| ||
| wheeled vehicle | 78.4 | |
|
| ||
| vehicle | 50.1 | |
|
| ||
| train | 34.7 | |
|
| ||
| transportation | 34.1 | |
|
| ||
| steam | 33 | |
|
| ||
| railway | 30.4 | |
|
| ||
| transport | 30.2 | |
|
| ||
| railroad | 29.5 | |
|
| ||
| engine | 28.9 | |
|
| ||
| industry | 26.5 | |
|
| ||
| smoke | 25.1 | |
|
| ||
| power | 24.4 | |
|
| ||
| track | 24.1 | |
|
| ||
| old | 23.7 | |
|
| ||
| industrial | 23.6 | |
|
| ||
| tank | 20.4 | |
|
| ||
| factory | 20.3 | |
|
| ||
| war | 16.3 | |
|
| ||
| pollution | 16.3 | |
|
| ||
| steel | 15.9 | |
|
| ||
| oil | 15.8 | |
|
| ||
| rail | 15.7 | |
|
| ||
| military | 15.4 | |
|
| ||
| machine | 15.1 | |
|
| ||
| wheel | 15.1 | |
|
| ||
| vintage | 14.9 | |
|
| ||
| energy | 14.3 | |
|
| ||
| refinery | 12.8 | |
|
| ||
| travel | 12.7 | |
|
| ||
| fuel | 12.5 | |
|
| ||
| iron | 12.1 | |
|
| ||
| outdoors | 12 | |
|
| ||
| coal | 11.8 | |
|
| ||
| gun | 11.7 | |
|
| ||
| army | 11.7 | |
|
| ||
| pipe | 11.7 | |
|
| ||
| station | 11.6 | |
|
| ||
| gas | 11.6 | |
|
| ||
| sky | 11.5 | |
|
| ||
| metal | 11.3 | |
|
| ||
| outside | 11.1 | |
|
| ||
| technology | 11.1 | |
|
| ||
| danger | 10.9 | |
|
| ||
| barrel | 10.8 | |
|
| ||
| history | 10.7 | |
|
| ||
| historic | 10.1 | |
|
| ||
| tracks | 9.9 | |
|
| ||
| freight | 9.8 | |
|
| ||
| battle | 9.8 | |
|
| ||
| weapon | 9.7 | |
|
| ||
| chemical | 9.6 | |
|
| ||
| environment | 9 | |
|
| ||
| retro | 9 | |
|
| ||
| equipment | 9 | |
|
| ||
| chimney | 8.8 | |
|
| ||
| exteriors | 8.8 | |
|
| ||
| cargo | 8.7 | |
|
| ||
| supply | 8.7 | |
|
| ||
| black | 8.4 | |
|
| ||
| plant | 8.2 | |
|
| ||
| steam train | 7.9 | |
|
| ||
| steam engine | 7.9 | |
|
| ||
| diesel | 7.9 | |
|
| ||
| truck | 7.7 | |
|
| ||
| heavy | 7.6 | |
|
| ||
| rusty | 7.6 | |
|
| ||
| historical | 7.5 | |
|
| ||
| snow | 7.2 | |
|
| ||
| world | 7.1 | |
|
| ||
Google
created on 2019-05-29
| Transport | 96.9 | |
|
| ||
| Railway | 92.4 | |
|
| ||
| Locomotive | 91.9 | |
|
| ||
| Steam engine | 90.7 | |
|
| ||
| Vehicle | 87.5 | |
|
| ||
| Train | 87.1 | |
|
| ||
| Mode of transport | 80.8 | |
|
| ||
| Rolling stock | 75.4 | |
|
| ||
| Auto part | 72 | |
|
| ||
| Automotive engine part | 60 | |
|
| ||
| Stock photography | 59.4 | |
|
| ||
| Black-and-white | 56.4 | |
|
| ||
| Railroad car | 55.2 | |
|
| ||
| Engine | 52.3 | |
|
| ||
| Track | 50.7 | |
|
| ||
Microsoft
created on 2019-05-29
| outdoor | 99.2 | |
|
| ||
| train | 97.8 | |
|
| ||
| locomotive | 92.9 | |
|
| ||
| railroad | 92 | |
|
| ||
| steam | 88 | |
|
| ||
| vehicle | 84.7 | |
|
| ||
| land vehicle | 83 | |
|
| ||
| black | 71 | |
|
| ||
| engine | 67.5 | |
|
| ||
| white | 61.1 | |
|
| ||
| black and white | 58 | |
|
| ||
| old | 51 | |
|
| ||
Face analysis
Amazon
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 50.1% |
| Happy | 49.5% |
| Confused | 49.5% |
| Sad | 49.6% |
| Calm | 50.2% |
| Surprised | 49.5% |
| Disgusted | 49.5% |
| Angry | 49.6% |
Feature analysis
Captions
Microsoft
| a black and white photo of a train | 88% | |
|
| ||
| a man standing next to a train | 86.2% | |
|
| ||
| a man riding on the back of a train | 65% | |
|
| ||
Text analysis
Amazon
CO
cro CO
cro
HHIR