Machine Generated Data
Tags
Amazon
created on 2019-05-30
| Human | 99.7 | |
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| Person | 99.7 | |
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| Person | 99.3 | |
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| Person | 99 | |
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| Accessories | 95.4 | |
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| Sunglasses | 95.4 | |
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| Accessory | 95.4 | |
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| Person | 95 | |
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| Restaurant | 93.8 | |
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| Meal | 80.3 | |
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| Food | 80.3 | |
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| Food Court | 62.6 | |
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| Clinic | 58.4 | |
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| Apparel | 57.9 | |
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| Coat | 57.9 | |
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| Clothing | 57.9 | |
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| Overcoat | 57.9 | |
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| Pub | 57.3 | |
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| Bar Counter | 57.3 | |
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| Cafeteria | 56 | |
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Clarifai
created on 2019-05-30
Imagga
created on 2019-05-30
Google
created on 2019-05-30
| Nurse | 51.1 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 45-63 |
| Gender | Female, 58.8% |
| Happy | 7% |
| Surprised | 2.6% |
| Angry | 2.8% |
| Disgusted | 1.7% |
| Sad | 22.4% |
| Confused | 2.5% |
| Calm | 60.9% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 98.4% |
| Disgusted | 0.1% |
| Sad | 18.4% |
| Angry | 1.1% |
| Surprised | 0.4% |
| Calm | 79% |
| Happy | 0.3% |
| Confused | 0.5% |
AWS Rekognition
| Age | 35-52 |
| Gender | Female, 50.6% |
| Angry | 3.6% |
| Happy | 3.4% |
| Disgusted | 1.9% |
| Sad | 35% |
| Surprised | 1.3% |
| Calm | 52.9% |
| Confused | 1.9% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 98.9% |
| Disgusted | 1% |
| Confused | 0.8% |
| Surprised | 0.4% |
| Calm | 92.1% |
| Happy | 0.6% |
| Angry | 0.7% |
| Sad | 4.4% |
Feature analysis
Amazon
Person
Sunglasses
Categories
Imagga
| people portraits | 68.4% | |
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| events parties | 17% | |
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| paintings art | 10% | |
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| food drinks | 1.7% | |
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Captions
Microsoft
created on 2019-05-30
| a group of people preparing food in a kitchen | 95% | |
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| a group of people in a kitchen preparing food | 94.5% | |
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| a group of people preparing food on a table | 93.8% | |
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