Machine Generated Data
Tags
Amazon
created on 2019-03-25
Person | 99.7 | |
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Human | 99.7 | |
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Person | 98.2 | |
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Restaurant | 81 | |
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Apparel | 79.2 | |
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Clothing | 79.2 | |
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Cafeteria | 73.1 | |
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Shorts | 71.1 | |
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Accessory | 69.8 | |
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Accessories | 69.8 | |
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Sunglasses | 69.8 | |
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Meal | 58 | |
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Food | 58 | |
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Door | 57.9 | |
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Electronics | 57.6 | |
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Screen | 57.6 | |
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Cafe | 56.9 | |
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Flooring | 55.4 | |
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Person | 41.6 | |
|
Clarifai
created on 2019-03-25
Imagga
created on 2019-03-25
Google
created on 2019-03-25
Photograph | 97.1 | |
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Snapshot | 89.4 | |
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Black-and-white | 89 | |
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Room | 74.4 | |
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Photography | 73.8 | |
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Stock photography | 71.4 | |
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Monochrome photography | 69.6 | |
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Window | 67.7 | |
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Monochrome | 64.3 | |
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Sitting | 54.1 | |
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House | 53.7 | |
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Furniture | 53.3 | |
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Style | 51 | |
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Microsoft
created on 2019-03-25
person | 95.5 | |
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indoor | 93.4 | |
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food | 57.6 | |
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black and white | 47 | |
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kitchen | 35.7 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 26-43 |
Gender | Male, 96.5% |
Confused | 1.6% |
Surprised | 1.6% |
Sad | 1.4% |
Disgusted | 0.7% |
Happy | 3.4% |
Calm | 90.2% |
Angry | 1% |
AWS Rekognition
Age | 26-43 |
Gender | Male, 95.7% |
Confused | 2.2% |
Angry | 2.9% |
Surprised | 3.4% |
Disgusted | 1% |
Calm | 6% |
Happy | 80.7% |
Sad | 3.9% |
Feature analysis
Amazon
Person | 99.7% | |
|
Sunglasses | 69.8% | |
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Text analysis
Amazon
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