Machine Generated Data
Tags
Amazon
created on 2019-08-09
Human | 99.7 | |
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Person | 99.7 | |
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Person | 99.7 | |
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Accessory | 97.7 | |
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Accessories | 97.7 | |
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Sunglasses | 97.7 | |
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Workshop | 84.6 | |
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Face | 75.7 | |
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Clothing | 73.9 | |
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Apparel | 73.9 | |
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Sunglasses | 71.7 | |
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Food | 66.1 | |
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Meal | 66.1 | |
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Photography | 62.9 | |
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Photo | 62.9 | |
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Portrait | 62.9 | |
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Room | 58 | |
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Indoors | 58 | |
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Sitting | 56.2 | |
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Clarifai
created on 2019-08-09
Imagga
created on 2019-08-09
Google
created on 2019-08-09
Photograph | 96.4 | |
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Snapshot | 85.9 | |
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Black-and-white | 74.4 | |
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Photography | 72.5 | |
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Eyewear | 68.6 | |
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Room | 65.7 | |
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Stock photography | 59.4 | |
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Monochrome | 54.4 | |
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Microsoft
created on 2019-08-09
person | 99.7 | |
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man | 98.6 | |
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text | 96.8 | |
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clothing | 96.6 | |
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glasses | 92.9 | |
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human face | 91.8 | |
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black and white | 83.5 | |
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table | 77.6 | |
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furniture | 63.7 | |
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old | 55.6 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 35-51 |
Gender | Male, 78.6% |
Sad | 0.1% |
Surprised | 70.1% |
Calm | 25.2% |
Disgusted | 0.4% |
Angry | 2% |
Confused | 1% |
Fear | 0.6% |
Happy | 0.7% |
AWS Rekognition
Age | 36-54 |
Gender | Female, 50.1% |
Confused | 1.9% |
Surprised | 32.3% |
Disgusted | 0.2% |
Fear | 0.8% |
Angry | 0.9% |
Calm | 63.2% |
Happy | 0.1% |
Sad | 0.5% |
Feature analysis
Amazon
Person | 99.7% | |
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Sunglasses | 97.7% | |
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