Machine Generated Data
Tags
Amazon
created on 2019-07-29
Clarifai
created on 2019-07-29
100 | ||
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illustration | 100 | |
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engraving | 99.9 | |
| ||
people | 99.8 | |
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watercraft | 99.5 | |
| ||
art | 99.2 | |
| ||
group | 99.1 | |
| ||
etching | 99 | |
| ||
woodcut | 98.9 | |
| ||
vehicle | 98.8 | |
| ||
vintage | 98.3 | |
| ||
lithograph | 97.4 | |
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transportation system | 97.3 | |
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adult | 97 | |
| ||
military | 96.9 | |
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sepia pigment | 96.8 | |
| ||
painting | 95.7 | |
| ||
visuals | 94.9 | |
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many | 94.6 | |
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wear | 94.4 | |
|
Imagga
created on 2019-07-29
Google
created on 2019-07-29
Painting | 84.6 | |
| ||
Art | 74 | |
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Vehicle | 65 | |
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Stock photography | 62.1 | |
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Antique | 60.5 | |
| ||
Boat | 59.8 | |
| ||
Picture frame | 57.5 | |
| ||
Artwork | 51.1 | |
| ||
Illustration | 50.4 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 23-38 |
Gender | Male, 50.4% |
Calm | 49.5% |
Angry | 50.3% |
Happy | 49.5% |
Surprised | 49.5% |
Disgusted | 49.5% |
Confused | 49.5% |
Sad | 49.6% |
Feature analysis
Text analysis
Amazon
remtes