Machine Generated Data
Tags
Amazon
created on 2019-11-19
Clarifai
created on 2019-11-19
people | 99.5 | |
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adult | 99.3 | |
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furniture | 97.3 | |
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one | 96.8 | |
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man | 94.5 | |
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room | 93.8 | |
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woman | 93.3 | |
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wear | 92.7 | |
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indoors | 91.4 | |
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portrait | 90.8 | |
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facial expression | 90.7 | |
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medical practitioner | 89.7 | |
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side view | 87.1 | |
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concentration | 87 | |
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hospital | 86.4 | |
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desk | 86.4 | |
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medicine | 84.4 | |
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scientist | 78.8 | |
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technology | 78.6 | |
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administration | 78.1 | |
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Imagga
created on 2019-11-19
Google
created on 2019-11-19
Room | 65.7 | |
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Sitting | 62.5 | |
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Black-and-white | 56.4 | |
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Service | 51.2 | |
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Microsoft
created on 2019-11-19
person | 99.8 | |
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indoor | 97.1 | |
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black and white | 93.1 | |
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clothing | 81.2 | |
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monochrome | 70.2 | |
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human face | 69.9 | |
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working | 58.8 | |
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preparing | 58.5 | |
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cooking | 29.2 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 26-40 |
Gender | Male, 84.3% |
Fear | 1% |
Angry | 2.1% |
Calm | 22% |
Surprised | 0.9% |
Confused | 0.9% |
Happy | 0.5% |
Disgusted | 2.7% |
Sad | 70% |
Feature analysis
Amazon
Person | 98.8% | |
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