Machine Generated Data
Tags
Amazon
created on 2023-10-18
Clarifai
created on 2023-10-18
vehicle | 99.5 | |
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watercraft | 99.4 | |
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people | 99.4 | |
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99.1 | ||
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transportation system | 98.1 | |
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group | 96.2 | |
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no person | 96.1 | |
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engraving | 94.7 | |
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art | 94.6 | |
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ship | 93.5 | |
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many | 93.1 | |
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water | 92.8 | |
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vintage | 91.9 | |
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sailboat | 91.3 | |
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black and white | 87.4 | |
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sepia pigment | 87.1 | |
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group together | 83.8 | |
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sail | 83.4 | |
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several | 82.9 | |
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monochrome | 82.5 | |
|
Imagga
created on 2018-12-28
Google
created on 2018-12-28
sailing ship | 80.6 | |
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fluyt | 76.4 | |
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black and white | 72.2 | |
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galiot | 67.9 | |
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watercraft | 67.8 | |
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sketch | 67.7 | |
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tree | 64.7 | |
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visual arts | 64.1 | |
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drawing | 62.1 | |
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artwork | 51.7 | |
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barque | 50.9 | |
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galeas | 50.9 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 16-22 |
Gender | Female, 50% |
Calm | 59.3% |
Fear | 12% |
Surprised | 10.4% |
Disgusted | 8.3% |
Angry | 5.1% |
Happy | 4.8% |
Sad | 3.2% |
Confused | 1.5% |
Feature analysis
Text analysis
Amazon
Whistler 1859.