Machine Generated Data
Tags
Amazon
created on 2019-11-19
Clarifai
created on 2019-11-19
people | 96.7 | |
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grinder | 96.6 | |
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monochrome | 96.3 | |
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industry | 95.8 | |
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production | 92.1 | |
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tube | 88.4 | |
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no person | 86.4 | |
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steel | 81.9 | |
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dark | 80.1 | |
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science | 79.9 | |
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equipment | 79.2 | |
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technology | 79.1 | |
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indoors | 79.1 | |
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adult | 78.9 | |
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one | 78.2 | |
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man | 76.7 | |
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pipe | 75.4 | |
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instrument | 75.4 | |
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vehicle | 73.5 | |
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container | 72.8 | |
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Imagga
created on 2019-11-19
hourglass | 100 | |
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timepiece | 75.5 | |
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glass | 30.3 | |
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equipment | 21 | |
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industrial | 12.7 | |
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black | 12 | |
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industry | 11.9 | |
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architecture | 11.7 | |
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sand | 11.3 | |
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old | 11.1 | |
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technology | 11.1 | |
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time | 11 | |
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energy | 10.9 | |
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steel | 10.6 | |
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metal | 10.5 | |
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business | 10.3 | |
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timer | 9.8 | |
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science | 9.8 | |
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gas | 9.6 | |
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liquid | 9.6 | |
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clock | 9.5 | |
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light | 9.4 | |
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oil | 9.3 | |
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alcohol | 9.2 | |
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instrument | 9.2 | |
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structure | 9.2 | |
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drink | 9.2 | |
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machine | 9.2 | |
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retro | 9 | |
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bottle | 8.9 | |
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factory | 8.7 | |
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antique | 8.7 | |
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city | 8.3 | |
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wine | 8.3 | |
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environment | 8.2 | |
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water | 8 | |
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lamp | 7.9 | |
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hour | 7.8 | |
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process | 7.8 | |
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experiment | 7.8 | |
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pipe | 7.8 | |
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chemical | 7.7 | |
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laboratory | 7.7 | |
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fuel | 7.7 | |
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construction | 7.7 | |
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measure | 7.7 | |
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tool | 7.6 | |
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research | 7.6 | |
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power | 7.6 | |
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vintage | 7.4 | |
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building | 7.4 | |
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transportation | 7.2 | |
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transparent | 7.2 | |
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Google
created on 2019-11-19
Black | 94.8 | |
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Photograph | 94.8 | |
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Black-and-white | 91.5 | |
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Monochrome photography | 85.4 | |
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Monochrome | 80.3 | |
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Still life photography | 78.8 | |
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Photography | 77 | |
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Stock photography | 67.6 | |
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Room | 65.7 | |
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Style | 53.5 | |
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Microsoft
created on 2019-11-19
black and white | 81.1 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 25-39 |
Gender | Male, 51.9% |
Fear | 45.1% |
Confused | 45.1% |
Angry | 45.8% |
Happy | 45% |
Sad | 53.2% |
Disgusted | 45% |
Calm | 45.7% |
Surprised | 45% |
Feature analysis
Amazon
Person | 75.4% | |
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