Machine Generated Data
Tags
Amazon
created on 2019-11-19
Machine | 92.9 | |
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Spoke | 91 | |
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Wheel | 88 | |
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Tire | 79.3 | |
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Alloy Wheel | 73 | |
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Transportation | 68.5 | |
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Vehicle | 68 | |
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Apparel | 62.4 | |
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Clothing | 62.4 | |
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Motor | 61.5 | |
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Car Wheel | 58.1 | |
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Spiral | 57.2 | |
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Rotor | 57.2 | |
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Coil | 57.2 | |
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Motorcycle | 56.1 | |
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Clarifai
created on 2019-11-19
people | 98 | |
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vehicle | 95.7 | |
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industry | 95.2 | |
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watercraft | 94.4 | |
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one | 94.4 | |
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no person | 92.6 | |
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grinder | 90.5 | |
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adult | 89.1 | |
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transportation system | 87 | |
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steel | 85 | |
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production | 84.9 | |
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military | 84.7 | |
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machine | 84.2 | |
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two | 83.1 | |
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group | 81.9 | |
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man | 81.7 | |
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wear | 80.4 | |
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war | 80.2 | |
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monochrome | 79.6 | |
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furniture | 79.2 | |
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Imagga
created on 2019-11-19
boiler | 100 | |
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vessel | 100 | |
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container | 79.9 | |
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clock | 26.1 | |
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old | 24.4 | |
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time | 23.8 | |
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metal | 16.9 | |
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vintage | 15.7 | |
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antique | 15.6 | |
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close | 15.4 | |
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watch | 14.4 | |
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alarm | 13.2 | |
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retro | 13.1 | |
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business | 12.7 | |
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hour | 12.7 | |
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technology | 12.6 | |
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ancient | 12.1 | |
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face | 12.1 | |
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industry | 11.9 | |
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industrial | 11.8 | |
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steel | 11.5 | |
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deadline | 10.8 | |
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closeup | 10.8 | |
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minute | 10.8 | |
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rust | 10.6 | |
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work | 10.2 | |
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dial | 9.7 | |
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engine | 8.7 | |
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numbers | 8.6 | |
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travel | 8.4 | |
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iron | 8.4 | |
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power | 8.4 | |
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dollar | 8.3 | |
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brown | 8.1 | |
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symbol | 8.1 | |
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currency | 8.1 | |
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device | 8 | |
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finance | 7.6 | |
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hand | 7.4 | |
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economy | 7.4 | |
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aged | 7.2 | |
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architecture | 7 | |
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Google
created on 2019-11-19
Monochrome | 74.2 | |
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Black-and-white | 68.3 | |
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Jaw | 66.8 | |
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Photography | 62.4 | |
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Stock photography | 59.4 | |
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Style | 51 | |
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Art | 50.2 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 55-73 |
Gender | Male, 70.2% |
Angry | 0.5% |
Sad | 6.6% |
Surprised | 0.2% |
Calm | 89.6% |
Confused | 1.7% |
Fear | 0.1% |
Happy | 1% |
Disgusted | 0.2% |