Machine Generated Data
Tags
Amazon
created on 2022-01-16
Imagga
created on 2022-01-16
Google
created on 2022-01-16
Building | 91.9 | |
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Rectangle | 86.3 | |
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Black-and-white | 84.6 | |
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Grey | 84 | |
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Style | 83.8 | |
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Window | 81 | |
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Font | 80.7 | |
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Tints and shades | 77.4 | |
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Symmetry | 73.2 | |
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Monochrome photography | 72.3 | |
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Monochrome | 71.4 | |
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Facade | 70.4 | |
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Art | 68.5 | |
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Automotive exterior | 68.3 | |
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Room | 67.6 | |
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Glass | 67.5 | |
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Arch | 67 | |
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Metal | 64.4 | |
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Ceiling | 61.9 | |
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Visual arts | 59.3 | |
|
Microsoft
created on 2022-01-16
black and white | 89.2 | |
| ||
white | 69.4 | |
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water | 68.7 | |
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monochrome | 59.1 | |
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arch | 26.1 | |
|
Face analysis
Amazon

AWS Rekognition
Age | 25-35 |
Gender | Male, 98.7% |
Calm | 58.2% |
Happy | 16.6% |
Sad | 9.6% |
Confused | 5.6% |
Fear | 4.6% |
Angry | 4% |
Surprised | 0.8% |
Disgusted | 0.6% |
Feature analysis
Amazon

Person | 98.6% | |
|
Captions
Microsoft
a close up of a train car | 61.4% | |
|
Text analysis
Amazon

J30

KODAK-E.EELA

YT37A°2-XAGO

YT37A°2-XAGO