Machine Generated Data
Tags
Amazon
created on 2019-05-29
Clarifai
created on 2019-05-29
Imagga
created on 2019-05-29
anvil | 31 | |
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industry | 27.3 | |
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block | 25.3 | |
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work | 22 | |
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worker | 21.3 | |
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metal | 20.9 | |
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industrial | 20.9 | |
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old | 19.5 | |
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man | 19.5 | |
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steel | 19.4 | |
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construction | 18.8 | |
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tool | 17.5 | |
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machine | 16.5 | |
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gun | 16.2 | |
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device | 16 | |
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equipment | 15.6 | |
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labor | 15.6 | |
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iron | 15.2 | |
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vehicle | 13.9 | |
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safety | 13.8 | |
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factory | 13.6 | |
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job | 13.3 | |
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working | 13.3 | |
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car | 12.9 | |
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skill | 12.5 | |
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weapon | 12.3 | |
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manufacturing | 11.7 | |
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stone | 11 | |
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dirty | 10.8 | |
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black | 10.8 | |
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manual | 10.7 | |
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war | 10.6 | |
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rifle | 10.6 | |
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building | 10.4 | |
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fire | 10.3 | |
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light | 10 | |
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protection | 10 | |
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wood | 10 | |
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firearm | 9.7 | |
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repair | 9.6 | |
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automobile | 9.6 | |
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heavy | 9.5 | |
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power | 9.2 | |
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wreck | 9.2 | |
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danger | 9.1 | |
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mask | 9.1 | |
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camouflage | 8.9 | |
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craft | 8.9 | |
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skeleton | 8.8 | |
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destruction | 8.8 | |
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rust | 8.7 | |
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concrete | 8.6 | |
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uniform | 8.4 | |
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environment | 8.2 | |
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transportation | 8.1 | |
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material | 8 | |
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machinery | 7.9 | |
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welder | 7.9 | |
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weld | 7.9 | |
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welding | 7.9 | |
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dump | 7.9 | |
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soldier | 7.8 | |
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person | 7.8 | |
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military | 7.7 | |
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engine | 7.7 | |
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auto | 7.7 | |
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house | 7.5 | |
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flame | 7.5 | |
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smoke | 7.4 | |
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heat | 7.4 | |
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occupation | 7.3 | |
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people | 7.3 | |
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male | 7.1 | |
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machinist | 7 | |
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Google
created on 2019-05-29
Photograph | 94.8 | |
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Stock photography | 59.4 | |
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Art | 50.2 | |
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Microsoft
created on 2019-05-29
drawing | 86.9 | |
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black and white | 83.5 | |
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old | 41.2 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 23-38 |
Gender | Female, 50.6% |
Disgusted | 1.6% |
Sad | 6.2% |
Confused | 1.3% |
Calm | 63.4% |
Happy | 21.7% |
Angry | 4% |
Surprised | 1.8% |
Feature analysis
Amazon
Train | 56.5% | |
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