Machine Generated Data
Tags
Amazon
created on 2023-10-25
Clarifai
created on 2023-10-15
| train | 99.3 | |
|
| ||
| street | 99.2 | |
|
| ||
| people | 99 | |
|
| ||
| transportation system | 98.4 | |
|
| ||
| railway | 98.1 | |
|
| ||
| monochrome | 97.8 | |
|
| ||
| locomotive | 97.5 | |
|
| ||
| dog | 96.8 | |
|
| ||
| city | 94.1 | |
|
| ||
| group together | 93.3 | |
|
| ||
| vehicle | 92.8 | |
|
| ||
| two | 91.5 | |
|
| ||
| no person | 90.7 | |
|
| ||
| urban | 89.8 | |
|
| ||
| black and white | 89.8 | |
|
| ||
| adult | 89.8 | |
|
| ||
| group | 89.7 | |
|
| ||
| building | 88.1 | |
|
| ||
| train station | 87.8 | |
|
| ||
| one | 87.7 | |
|
| ||
Imagga
created on 2019-01-31
| car | 49 | |
|
| ||
| train | 40 | |
|
| ||
| wheeled vehicle | 38.2 | |
|
| ||
| vehicle | 35.6 | |
|
| ||
| track | 34.7 | |
|
| ||
| transportation | 33.2 | |
|
| ||
| travel | 30.3 | |
|
| ||
| passenger car | 29.3 | |
|
| ||
| station | 27.7 | |
|
| ||
| city | 27.4 | |
|
| ||
| transport | 27.4 | |
|
| ||
| railway | 26.5 | |
|
| ||
| freight car | 24.9 | |
|
| ||
| railroad | 24.6 | |
|
| ||
| urban | 21 | |
|
| ||
| architecture | 19.6 | |
|
| ||
| building | 19.5 | |
|
| ||
| rail | 18.7 | |
|
| ||
| old | 17.4 | |
|
| ||
| conveyance | 17 | |
|
| ||
| street | 16.6 | |
|
| ||
| road | 16.3 | |
|
| ||
| snow | 14.1 | |
|
| ||
| rails | 13.8 | |
|
| ||
| house | 13.5 | |
|
| ||
| speed | 12.8 | |
|
| ||
| subway | 12.8 | |
|
| ||
| tracks | 12.8 | |
|
| ||
| sky | 12.8 | |
|
| ||
| industrial | 12.7 | |
|
| ||
| locomotive | 12.2 | |
|
| ||
| light | 12 | |
|
| ||
| metro | 11.8 | |
|
| ||
| wall | 11.7 | |
|
| ||
| move | 11.5 | |
|
| ||
| journey | 11.3 | |
|
| ||
| town | 11.1 | |
|
| ||
| industry | 11.1 | |
|
| ||
| winter | 11.1 | |
|
| ||
| transit | 10.8 | |
|
| ||
| structure | 10.8 | |
|
| ||
| engine | 10.6 | |
|
| ||
| electric | 10.3 | |
|
| ||
| line | 10.3 | |
|
| ||
| wagon | 10.2 | |
|
| ||
| locker | 10.2 | |
|
| ||
| way | 10.2 | |
|
| ||
| tunnel | 10 | |
|
| ||
| outdoor | 9.9 | |
|
| ||
| night | 9.8 | |
|
| ||
| scene | 9.5 | |
|
| ||
| cold | 9.5 | |
|
| ||
| device | 9.1 | |
|
| ||
| cargo | 8.7 | |
|
| ||
| traffic | 8.5 | |
|
| ||
| business | 8.5 | |
|
| ||
| fastener | 8.5 | |
|
| ||
| perspective | 8.5 | |
|
| ||
| passenger | 8.3 | |
|
| ||
| vintage | 8.3 | |
|
| ||
| window | 8.2 | |
|
| ||
| landscape | 8.2 | |
|
| ||
| metal | 8 | |
|
| ||
| subway train | 7.9 | |
|
| ||
| commuter | 7.9 | |
|
| ||
| weather | 7.8 | |
|
| ||
| public | 7.8 | |
|
| ||
| motion | 7.7 | |
|
| ||
| construction | 7.7 | |
|
| ||
| brick | 7.6 | |
|
| ||
| roof | 7.6 | |
|
| ||
| warehouse | 7.5 | |
|
| ||
| outdoors | 7.5 | |
|
| ||
| tourist | 7.3 | |
|
| ||
| platform | 7.2 | |
|
| ||
| container | 7.2 | |
|
| ||
| lines | 7.2 | |
|
| ||
| trees | 7.1 | |
|
| ||
| steel | 7.1 | |
|
| ||
| rural | 7.1 | |
|
| ||
Google
created on 2019-01-31
| Black-and-white | 85.4 | |
|
| ||
| Transport | 85.1 | |
|
| ||
| Photography | 74.8 | |
|
| ||
| Monochrome | 74.2 | |
|
| ||
| Train | 60.2 | |
|
| ||
| Railway | 51.2 | |
|
| ||
Microsoft
created on 2019-01-31
| train | 12.8 | |
|
| ||
| street | 10.6 | |
|
| ||
| railroad | 9 | |
|
| ||
| black and white | 6.7 | |
|
| ||
| station | 4.5 | |
|
| ||
| locomotive | 3.6 | |
|
| ||
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 18-26 |
| Gender | Male, 99.3% |
| Calm | 83.7% |
| Sad | 7.4% |
| Surprised | 6.4% |
| Fear | 6.2% |
| Happy | 3.3% |
| Angry | 1.8% |
| Confused | 0.6% |
| Disgusted | 0.4% |
AWS Rekognition
| Age | 18-24 |
| Gender | Male, 86.6% |
| Disgusted | 37.2% |
| Sad | 31.5% |
| Calm | 22.5% |
| Surprised | 8% |
| Fear | 6.8% |
| Angry | 6.6% |
| Confused | 3.8% |
| Happy | 2.9% |
Feature analysis
Categories
Imagga
| cars vehicles | 99.3% | |
|
| ||
Captions
Microsoft
created on 2019-01-31
| a train window with a dog | 53.9% | |
|
| ||
| a group of people sitting at a train station | 48.9% | |
|
| ||
| a person riding on the back of a train | 34.8% | |
|
| ||