Machine Generated Data
Tags
Amazon
created on 2019-08-09
Clarifai
created on 2019-08-09
Imagga
created on 2019-08-09
Google
created on 2019-08-09
Photograph | 97.4 | |
| ||
Black-and-white | 90.3 | |
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Snapshot | 89.6 | |
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Standing | 84.2 | |
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Monochrome photography | 80.4 | |
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Monochrome | 75.8 | |
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Photography | 73.8 | |
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Room | 65.7 | |
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Stock photography | 59.4 | |
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Family | 59.2 | |
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Gentleman | 57.3 | |
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Vintage clothing | 57 | |
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History | 54.1 | |
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Style | 53.5 | |
|
Microsoft
created on 2019-08-09
person | 99.4 | |
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man | 99.1 | |
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clothing | 95.9 | |
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text | 95.6 | |
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wall | 95.6 | |
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indoor | 87.5 | |
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standing | 81.2 | |
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black and white | 80.2 | |
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human face | 69.7 | |
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smile | 56.1 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 51-69 |
Gender | Male, 63.6% |
Calm | 16.1% |
Fear | 14.3% |
Angry | 2% |
Sad | 51.4% |
Confused | 5.2% |
Happy | 3.3% |
Disgusted | 1.1% |
Surprised | 6.6% |
AWS Rekognition
Age | 16-28 |
Gender | Female, 55.5% |
Sad | 23.5% |
Calm | 17.9% |
Disgusted | 1% |
Confused | 4% |
Fear | 9.1% |
Angry | 1.6% |
Surprised | 38.1% |
Happy | 4.8% |
Feature analysis
Text analysis
Amazon
10
10
10