Machine Generated Data
Tags
Amazon
created on 2019-05-28
Clarifai
created on 2019-05-28
indoors | 99.3 | |
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man | 98.7 | |
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people | 98.5 | |
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adult | 96.2 | |
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portrait | 95.1 | |
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facial expression | 94.7 | |
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wear | 94.1 | |
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one | 94.1 | |
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room | 92.2 | |
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furniture | 91.8 | |
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military | 89.1 | |
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healthcare | 88.5 | |
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sit | 86.8 | |
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medical practitioner | 86.8 | |
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business | 85.2 | |
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technology | 85.1 | |
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medicine | 84.5 | |
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employee | 84 | |
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service | 82 | |
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computer | 81.8 | |
|
Imagga
created on 2019-05-28
Microsoft
created on 2019-05-28
person | 99.3 | |
| ||
indoor | 95.5 | |
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kitchen appliance | 64 | |
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home appliance | 54.4 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 57-77 |
Gender | Male, 95.3% |
Angry | 3.2% |
Sad | 5.5% |
Surprised | 1.4% |
Confused | 7.2% |
Happy | 1% |
Calm | 81% |
Disgusted | 0.6% |
Microsoft Cognitive Services
Age | 62 |
Gender | Male |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 97.3% | |
|