Machine Generated Data
Tags
Amazon
created on 2023-10-23
Clarifai
created on 2023-10-15
negative | 99.9 | |
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filmstrip | 99.6 | |
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movie | 99.5 | |
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exposed | 99.3 | |
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slide | 98.9 | |
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noisy | 98 | |
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collage | 96.4 | |
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illustration | 96.1 | |
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picture frame | 95.8 | |
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dirty | 95.2 | |
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photograph | 94.7 | |
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desktop | 94 | |
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margin | 93.7 | |
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emulsion | 93.6 | |
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cinematography | 93.6 | |
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people | 92.6 | |
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art | 91.9 | |
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sliding | 91.4 | |
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video | 91.1 | |
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retro | 90.6 | |
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Imagga
created on 2019-02-03
Google
created on 2019-02-03
Photograph | 96.2 | |
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Photography | 80.2 | |
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Font | 78.3 | |
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Black-and-white | 74.4 | |
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Organism | 71.5 | |
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Stock photography | 69.8 | |
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Monochrome photography | 64.7 | |
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Photo caption | 54.7 | |
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Art | 50.2 | |
|
Microsoft
created on 2019-02-03
person | 91.4 | |
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electronics | 80.5 | |
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display | 59 | |
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image | 34 | |
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black and white | 34 | |
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monochrome | 12.1 | |
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street | 10.3 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 24-34 |
Gender | Male, 99.9% |
Angry | 51.4% |
Calm | 14% |
Fear | 12.6% |
Surprised | 9.1% |
Disgusted | 5.7% |
Happy | 5.5% |
Sad | 3.5% |
Confused | 2.7% |
Feature analysis
Text analysis
Amazon
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NAGON
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