Machine Generated Data
Tags
Amazon
created on 2019-11-19
Human | 99.7 | |
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Person | 99.7 | |
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Person | 99.6 | |
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Apparel | 98.8 | |
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Clothing | 98.8 | |
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Shorts | 89.4 | |
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Person | 84.8 | |
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Outdoors | 83.7 | |
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Face | 82.4 | |
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Nature | 81.9 | |
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Asphalt | 74.5 | |
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Tarmac | 74.5 | |
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Road | 73.4 | |
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Female | 72.3 | |
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Photo | 65.9 | |
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Photography | 65.9 | |
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Portrait | 65.9 | |
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Chair | 61.5 | |
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Furniture | 61.5 | |
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Girl | 59.2 | |
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Sand | 57.6 | |
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Woman | 57.5 | |
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Pedestrian | 56.3 | |
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Water | 56 | |
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Sea | 56 | |
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Ocean | 56 | |
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Clarifai
created on 2019-11-19
Imagga
created on 2019-11-19
Google
created on 2019-11-19
Photograph | 97.4 | |
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White | 97.1 | |
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Black | 96.1 | |
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Black-and-white | 94 | |
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Snapshot | 89.5 | |
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Monochrome | 87.5 | |
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Monochrome photography | 86.3 | |
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Standing | 84.8 | |
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Photography | 81.2 | |
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Stock photography | 77 | |
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Photographic paper | 57.6 | |
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Sitting | 57.5 | |
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Style | 55 | |
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Family | 54.3 | |
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Child | 52 | |
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Microsoft
created on 2019-11-19
text | 97.9 | |
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clothing | 96.6 | |
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person | 94.9 | |
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human face | 80.7 | |
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black and white | 79.6 | |
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woman | 52.5 | |
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man | 51.2 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 23-35 |
Gender | Male, 52% |
Happy | 45% |
Calm | 54.9% |
Angry | 45% |
Surprised | 45% |
Disgusted | 45% |
Sad | 45% |
Confused | 45% |
Fear | 45% |
Feature analysis
Amazon
Person | 99.7% | |
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