Machine Generated Data
Tags
Amazon
created on 2019-05-28
Clarifai
created on 2019-05-28
Imagga
created on 2019-05-28
mask | 59.7 | |
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gun | 35.7 | |
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man | 34.9 | |
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protective covering | 31 | |
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male | 27.7 | |
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weapon | 25.9 | |
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person | 24.7 | |
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protection | 24.6 | |
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covering | 24.2 | |
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soldier | 23.5 | |
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military | 23.2 | |
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safety | 21.2 | |
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war | 20.3 | |
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helmet | 20.1 | |
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black | 19.3 | |
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danger | 19.1 | |
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rifle | 17 | |
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adult | 16.9 | |
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smoke | 16.7 | |
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army | 16.6 | |
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equipment | 15.8 | |
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people | 15.6 | |
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device | 15.3 | |
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portrait | 14.9 | |
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uniform | 14.7 | |
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hand | 13.7 | |
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security | 12.9 | |
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industry | 12.8 | |
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human | 12.7 | |
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warrior | 12.7 | |
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firearm | 12.1 | |
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men | 12 | |
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occupation | 11.9 | |
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industrial | 11.8 | |
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camouflage | 11.8 | |
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disaster | 11.7 | |
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protective | 11.7 | |
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pistol | 11.6 | |
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worker | 11.6 | |
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metal | 11.3 | |
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warfare | 10.8 | |
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armed | 10.8 | |
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vintage | 10.8 | |
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toxic | 10.7 | |
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gas | 10.6 | |
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style | 10.4 | |
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microphone | 9.9 | |
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job | 9.7 | |
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chemical | 9.7 | |
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skill | 9.6 | |
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protect | 9.6 | |
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clothing | 9.6 | |
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instrument | 9.5 | |
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work | 9.4 | |
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light | 9.4 | |
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dark | 9.2 | |
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retro | 9 | |
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welder | 8.9 | |
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welding | 8.9 | |
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hat | 8.8 | |
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labor | 8.8 | |
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face | 8.5 | |
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action | 8.5 | |
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holding | 8.3 | |
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weld | 7.9 | |
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revolver | 7.8 | |
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radiation | 7.8 | |
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battle | 7.8 | |
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guard | 7.8 | |
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air gun | 7.7 | |
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arms | 7.7 | |
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power | 7.6 | |
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one | 7.5 | |
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brass | 7.5 | |
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sport | 7.5 | |
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technology | 7.4 | |
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environment | 7.4 | |
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business | 7.3 | |
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dirty | 7.2 | |
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suit | 7.2 | |
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body | 7.2 | |
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working | 7.1 | |
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Google
created on 2019-05-28
Photograph | 96.4 | |
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White | 95.5 | |
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Snapshot | 85.8 | |
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Black-and-white | 84.2 | |
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Photography | 77.5 | |
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Monochrome photography | 73.3 | |
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Stock photography | 66.6 | |
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Monochrome | 60.1 | |
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Still life photography | 50.2 | |
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Microsoft
created on 2019-05-28
person | 99 | |
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man | 96.2 | |
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helmet | 94.2 | |
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indoor | 87.2 | |
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clothing | 80.1 | |
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black and white | 72.7 | |
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white | 63 | |
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weapon | 58.2 | |
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firefighter | 57 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 26-43 |
Gender | Female, 81.7% |
Happy | 3% |
Angry | 3.6% |
Confused | 2.3% |
Surprised | 4.3% |
Calm | 72.2% |
Sad | 10.2% |
Disgusted | 4.5% |