Machine Generated Data
Tags
Amazon
created on 2019-04-02
Clarifai
created on 2018-03-23
people | 100 | |
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100 | ||
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illustration | 99.8 | |
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group | 99.7 | |
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adult | 99.3 | |
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engraving | 99 | |
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art | 98 | |
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man | 97.9 | |
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many | 97.6 | |
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vehicle | 97.3 | |
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woodcut | 96.7 | |
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lithograph | 96.5 | |
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watercraft | 93.8 | |
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military | 93.2 | |
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weapon | 93.2 | |
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painting | 92.9 | |
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several | 92.7 | |
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group together | 92.2 | |
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etching | 91.7 | |
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wear | 91.7 | |
|
Imagga
created on 2018-03-23
Google
created on 2018-03-23
black and white | 70.8 | |
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history | 66.3 | |
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art | 62 | |
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watercraft | 60 | |
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visual arts | 54.3 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 35-52 |
Gender | Male, 50.2% |
Happy | 49.6% |
Confused | 49.6% |
Calm | 49.6% |
Surprised | 49.6% |
Angry | 49.9% |
Sad | 49.7% |
Disgusted | 49.6% |
AWS Rekognition
Age | 14-25 |
Gender | Female, 50.2% |
Surprised | 49.5% |
Angry | 49.5% |
Disgusted | 49.6% |
Happy | 49.5% |
Confused | 49.5% |
Sad | 50.3% |
Calm | 49.5% |
Feature analysis
Text analysis
Amazon
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WBali2
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