Machine Generated Data
Tags
Amazon
created on 2019-11-19
Clarifai
created on 2019-11-19
Imagga
created on 2019-11-19
dishwasher | 32 | |
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factory | 27.3 | |
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industry | 27.3 | |
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white goods | 26.4 | |
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industrial | 26.3 | |
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equipment | 24.4 | |
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home appliance | 22 | |
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man | 20.8 | |
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steel | 20.3 | |
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metal | 19.3 | |
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power | 19.3 | |
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machine | 18.9 | |
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work | 18.8 | |
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engineering | 18.1 | |
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device | 16.8 | |
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appliance | 16.6 | |
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technology | 15.6 | |
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people | 14.5 | |
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inside | 13.8 | |
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manufacturing | 13.7 | |
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plant | 13.6 | |
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mechanical | 13.6 | |
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pipes | 12.8 | |
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pipe | 12.7 | |
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modern | 12.6 | |
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technical | 12.6 | |
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business | 12.1 | |
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iron | 12.1 | |
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passenger | 11.9 | |
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machinery | 11.8 | |
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tube | 11.8 | |
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energy | 11.8 | |
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building | 11.5 | |
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heavy | 11.4 | |
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hospital | 10.9 | |
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incubator | 10.6 | |
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working | 10.6 | |
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heat | 10.2 | |
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water | 10 | |
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male | 9.9 | |
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room | 9.9 | |
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transportation | 9.9 | |
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mechanic | 9.7 | |
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production | 9.7 | |
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waste | 9.7 | |
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pollution | 9.6 | |
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urban | 9.6 | |
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apparatus | 9.4 | |
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architecture | 9.4 | |
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television | 9.3 | |
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health | 9 | |
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science | 8.9 | |
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worker | 8.9 | |
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enterprise | 8.8 | |
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job | 8.8 | |
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gas | 8.7 | |
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person | 8.6 | |
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structure | 8.6 | |
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floor | 8.4 | |
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interior | 8 | |
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medical | 7.9 | |
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medicine | 7.9 | |
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piping | 7.9 | |
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manufacture | 7.8 | |
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station | 7.7 | |
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area | 7.7 | |
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men | 7.7 | |
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chemical | 7.7 | |
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fuel | 7.7 | |
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stock | 7.5 | |
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oil | 7.4 | |
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durables | 7.4 | |
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care | 7.4 | |
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surgeon | 7.4 | |
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light | 7.3 | |
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patient | 7.1 | |
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Google
created on 2019-11-19
Photograph | 96.3 | |
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Snapshot | 85.5 | |
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Black-and-white | 85.4 | |
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Monochrome | 75.8 | |
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Monochrome photography | 73.3 | |
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Photography | 70.6 | |
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Style | 51 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 36-52 |
Gender | Male, 52.1% |
Sad | 52.4% |
Confused | 45.1% |
Fear | 45.4% |
Angry | 45.2% |
Disgusted | 45% |
Surprised | 45% |
Calm | 46.4% |
Happy | 45.4% |
Feature analysis
Amazon
Person | 98.8% | |
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Text analysis
E
E