Machine Generated Data
Tags
Amazon
created on 2019-06-07
Clarifai
created on 2019-06-07
people | 99.1 | |
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vehicle | 97.4 | |
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transportation system | 95.8 | |
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adult | 95.1 | |
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one | 95 | |
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grinder | 94 | |
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industry | 92.1 | |
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group together | 89.7 | |
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two | 85.9 | |
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man | 84.4 | |
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indoors | 83.9 | |
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production | 80.9 | |
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military | 78.5 | |
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group | 77.5 | |
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aircraft | 76 | |
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room | 75.5 | |
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watercraft | 74.8 | |
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train | 73.8 | |
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three | 72.9 | |
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engine | 71.1 | |
|
Imagga
created on 2019-06-07
Google
created on 2019-06-07
Machine | 73.7 | |
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Machine tool | 60.8 | |
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Factory | 59.2 | |
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Toolroom | 58.6 | |
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Metal | 51.1 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 17-27 |
Gender | Female, 51.5% |
Surprised | 45.4% |
Disgusted | 46.4% |
Angry | 46.9% |
Confused | 45.3% |
Happy | 45.3% |
Sad | 49.4% |
Calm | 46.4% |
AWS Rekognition
Age | 20-38 |
Gender | Female, 52.4% |
Surprised | 45.9% |
Happy | 47% |
Disgusted | 46.4% |
Sad | 46.4% |
Angry | 46.1% |
Calm | 47.6% |
Confused | 45.7% |
Feature analysis
Text analysis
Amazon
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