Machine Generated Data
Tags
Amazon
created on 2019-05-31
Clarifai
created on 2019-05-31
Imagga
created on 2019-05-31
washer | 100 | |
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home appliance | 98.8 | |
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white goods | 80.9 | |
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appliance | 77 | |
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toaster | 41.6 | |
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durables | 35 | |
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kitchen appliance | 34.2 | |
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machine | 31.1 | |
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equipment | 29.1 | |
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technology | 27.4 | |
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device | 21.1 | |
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old | 16 | |
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car | 15.8 | |
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sewing machine | 15.5 | |
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camera | 14.8 | |
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object | 13.9 | |
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seat | 13.2 | |
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retro | 13.1 | |
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washing | 12.6 | |
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lens | 12.6 | |
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textile machine | 12.4 | |
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3d | 12.4 | |
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antique | 12.2 | |
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vehicle | 12.2 | |
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metal | 12.1 | |
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classic | 12.1 | |
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vintage | 11.6 | |
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obsolete | 11.5 | |
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auto | 11.5 | |
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wheel | 11.3 | |
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home | 11.2 | |
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clean | 10.8 | |
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laundry | 10.8 | |
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wash | 10.6 | |
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modern | 10.5 | |
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computer | 10.4 | |
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electronic | 10.3 | |
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transportation | 9.9 | |
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housework | 9.8 | |
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support | 9.8 | |
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digital | 9.7 | |
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business | 9.7 | |
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photograph | 9.6 | |
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automobile | 9.6 | |
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domestic | 9 | |
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dirty | 9 | |
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black | 9 | |
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indoors | 8.8 | |
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film | 8.6 | |
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clothes | 8.4 | |
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focus | 8.3 | |
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printer | 8.3 | |
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inside | 8.3 | |
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room | 8.2 | |
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clothing | 8 | |
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interior | 8 | |
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industry | 7.7 | |
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studio | 7.6 | |
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drive | 7.6 | |
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plastic | 7.3 | |
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office | 7.2 | |
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work | 7.1 | |
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Google
created on 2019-05-31
Classic | 97.6 | |
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Motor vehicle | 96.3 | |
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Vintage car | 96.2 | |
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Vehicle | 93.1 | |
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Car | 92.8 | |
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Classic car | 91.9 | |
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Antique car | 90 | |
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Automotive design | 88.7 | |
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Automotive lighting | 76 | |
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Mid-size car | 67.1 | |
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Headlamp | 65.6 | |
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Sedan | 60.1 | |
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Coupé | 57 | |
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Fender | 55.3 | |
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Microsoft
created on 2019-05-31
vehicle | 85.8 | |
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land vehicle | 85.7 | |
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auto part | 85.4 | |
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car | 78.5 | |
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wheel | 69.6 | |
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black and white | 56.8 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 17-27 |
Gender | Female, 50.9% |
Disgusted | 45.8% |
Confused | 45.2% |
Sad | 49.9% |
Happy | 45.3% |
Angry | 47.1% |
Surprised | 45.3% |
Calm | 46.4% |
Feature analysis
Text analysis
Amazon
18
16
ANAIA