Machine Generated Data
Tags
Amazon
created on 2021-04-04
Clarifai
created on 2021-04-04
Imagga
created on 2021-04-04
| cockpit | 58.8 | |
|
| ||
| seat | 46.5 | |
|
| ||
| car | 41.2 | |
|
| ||
| vehicle | 36 | |
|
| ||
| support | 35.1 | |
|
| ||
| device | 32.3 | |
|
| ||
| transportation | 24.2 | |
|
| ||
| automobile | 22 | |
|
| ||
| auto | 21 | |
|
| ||
| equipment | 18.8 | |
|
| ||
| motor | 18.6 | |
|
| ||
| engine | 18.3 | |
|
| ||
| part | 18 | |
|
| ||
| repair | 17.2 | |
|
| ||
| industry | 17.1 | |
|
| ||
| metal | 16.9 | |
|
| ||
| transport | 16.5 | |
|
| ||
| black | 16.3 | |
|
| ||
| old | 14.6 | |
|
| ||
| speed | 13.7 | |
|
| ||
| mechanical | 13.6 | |
|
| ||
| machine | 13.4 | |
|
| ||
| wheel | 13.3 | |
|
| ||
| rubbish | 13.1 | |
|
| ||
| industrial | 11.8 | |
|
| ||
| work | 11.8 | |
|
| ||
| broken | 11.6 | |
|
| ||
| steel | 11.5 | |
|
| ||
| tool | 11 | |
|
| ||
| metallic | 11 | |
|
| ||
| road | 10.8 | |
|
| ||
| shop | 10.8 | |
|
| ||
| wreckage | 10.2 | |
|
| ||
| safety | 10.1 | |
|
| ||
| closeup | 10.1 | |
|
| ||
| travel | 9.8 | |
|
| ||
| hood | 9.8 | |
|
| ||
| automotive | 9.8 | |
|
| ||
| drive | 9.4 | |
|
| ||
| grand piano | 9.1 | |
|
| ||
| wreck | 9 | |
|
| ||
| dirty | 9 | |
|
| ||
| technology | 8.9 | |
|
| ||
| shiny | 8.7 | |
|
| ||
| damaged | 8.6 | |
|
| ||
| modern | 8.4 | |
|
| ||
| power | 8.4 | |
|
| ||
| wheeled vehicle | 8.3 | |
|
| ||
| detail | 8 | |
|
| ||
| job | 8 | |
|
| ||
| design | 7.9 | |
|
| ||
| parts | 7.8 | |
|
| ||
| crash | 7.8 | |
|
| ||
| mechanic | 7.8 | |
|
| ||
| newspaper | 7.7 | |
|
| ||
| driving | 7.7 | |
|
| ||
| construction | 7.7 | |
|
| ||
| expensive | 7.7 | |
|
| ||
| tools | 7.6 | |
|
| ||
| piano | 7.5 | |
|
| ||
| iron | 7.5 | |
|
| ||
| classic | 7.4 | |
|
| ||
| close | 7.4 | |
|
| ||
| sport | 7.4 | |
|
| ||
| man | 7.4 | |
|
| ||
| tire | 7.4 | |
|
| ||
| light | 7.3 | |
|
| ||
| new | 7.3 | |
|
| ||
| garage | 7.2 | |
|
| ||
| product | 7 | |
|
| ||
Google
created on 2021-04-04
| Naval architecture | 86.7 | |
|
| ||
| Motor vehicle | 84.4 | |
|
| ||
| Water | 82.8 | |
|
| ||
| Vehicle | 72.3 | |
|
| ||
| Monochrome | 69.7 | |
|
| ||
| Monochrome photography | 69.2 | |
|
| ||
| Rectangle | 62.8 | |
|
| ||
| Metal | 60.5 | |
|
| ||
| Landscape | 57.5 | |
|
| ||
| Water transportation | 56.8 | |
|
| ||
| Steel | 56.2 | |
|
| ||
| Boat | 55.9 | |
|
| ||
| Urban design | 55.8 | |
|
| ||
| Automotive wheel system | 55.8 | |
|
| ||
| Photographic paper | 53 | |
|
| ||
| Machine | 52.8 | |
|
| ||
| Aerial photography | 50.7 | |
|
| ||
| History | 50.1 | |
|
| ||
Face analysis
Amazon
AWS Rekognition
| Age | 26-40 |
| Gender | Male, 99.6% |
| Angry | 55% |
| Calm | 44.2% |
| Sad | 0.4% |
| Fear | 0.2% |
| Confused | 0.1% |
| Happy | 0% |
| Surprised | 0% |
| Disgusted | 0% |
AWS Rekognition
| Age | 36-52 |
| Gender | Female, 77.8% |
| Sad | 76.3% |
| Fear | 6.6% |
| Happy | 6.6% |
| Calm | 4.7% |
| Angry | 1.8% |
| Disgusted | 1.7% |
| Surprised | 1.3% |
| Confused | 0.8% |
Feature analysis
Captions
Microsoft
| a close up of a suitcase | 33.8% | |
|
| ||
Text analysis
Amazon
Rnee