Machine Generated Data
Tags
Amazon
created on 2019-06-01
Clarifai
created on 2019-06-01
Imagga
created on 2019-06-01
| car | 52.9 | |
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| vehicle | 52.2 | |
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| transportation | 39.4 | |
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| automobile | 29.7 | |
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| transport | 28.3 | |
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| auto | 27.7 | |
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| wheel | 24.1 | |
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| device | 21.4 | |
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| engine | 21.2 | |
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| old | 20.9 | |
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| road | 19.9 | |
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| drive | 19.8 | |
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| truck | 16.8 | |
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| speed | 16.5 | |
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| metal | 16.1 | |
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| cockpit | 15.6 | |
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| power | 15.1 | |
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| vintage | 14 | |
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| travel | 12.7 | |
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| machine | 12.6 | |
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| driving | 12.6 | |
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| rusty | 12.4 | |
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| motor | 12.4 | |
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| traffic | 12.3 | |
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| street | 12 | |
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| abandoned | 11.7 | |
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| rust | 11.6 | |
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| electric | 11.5 | |
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| classic | 11.1 | |
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| tire | 11.1 | |
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| garage | 11 | |
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| iron lung | 10.8 | |
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| hood | 10.8 | |
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| wreck | 10.8 | |
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| crash | 10.8 | |
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| accident | 10.7 | |
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| highway | 10.6 | |
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| technology | 10.4 | |
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| steel | 9.7 | |
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| broken | 9.6 | |
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| motor vehicle | 9.5 | |
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| headlight | 9 | |
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| equipment | 8.9 | |
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| bumper | 8.9 | |
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| train | 8.9 | |
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| parking | 8.8 | |
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| wheeled vehicle | 8.7 | |
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| track | 8.6 | |
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| respirator | 8.6 | |
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| industry | 8.5 | |
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| black | 8.4 | |
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| danger | 8.2 | |
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| shiny | 7.9 | |
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| passenger | 7.9 | |
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| antique | 7.9 | |
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| wheels | 7.8 | |
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| luxury | 7.7 | |
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| sky | 7.6 | |
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| chrome | 7.5 | |
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| fast | 7.5 | |
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| sports | 7.4 | |
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| military vehicle | 7.4 | |
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| tank | 7.1 | |
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Google
created on 2019-06-01
| Motor vehicle | 98 | |
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| Vehicle | 85.2 | |
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| Car | 81.3 | |
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| Vintage car | 78.9 | |
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| Classic | 76.7 | |
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| Automotive design | 72.3 | |
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| Classic car | 68.4 | |
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| Stock photography | 64 | |
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| Antique car | 50.2 | |
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Microsoft
created on 2019-06-01
| car | 91.5 | |
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| vehicle | 91.4 | |
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| land vehicle | 88.4 | |
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| wheel | 85.6 | |
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| black and white | 78.9 | |
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| tire | 54.1 | |
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Face analysis
Amazon
AWS Rekognition
| Age | 12-22 |
| Gender | Male, 59.2% |
| Surprised | 7.4% |
| Sad | 28.1% |
| Happy | 13.4% |
| Angry | 6% |
| Disgusted | 6.4% |
| Confused | 7.3% |
| Calm | 31.4% |
