Machine Generated Data
Tags
Amazon
created on 2022-07-01
Person | 99.5 | |
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Human | 99.5 | |
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Clothing | 97.5 | |
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Apparel | 97.5 | |
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Water | 96.4 | |
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Waterfront | 93.7 | |
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Port | 91.7 | |
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Dock | 91.7 | |
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Pier | 91.7 | |
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Railing | 89.7 | |
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Female | 84.9 | |
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Outdoors | 79.2 | |
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Handrail | 74.6 | |
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Banister | 74.6 | |
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Sleeve | 72.6 | |
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Leisure Activities | 72.3 | |
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Nature | 72.3 | |
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Wood | 72.3 | |
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Back | 70.5 | |
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Woman | 70.1 | |
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Dress | 69.4 | |
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Portrait | 60.9 | |
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Photography | 60.9 | |
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Face | 60.9 | |
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Photo | 60.9 | |
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Dance Pose | 59.3 | |
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Path | 57.7 | |
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Imagga
created on 2022-07-01
Google
created on 2022-07-01
Water | 92.2 | |
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White | 92.2 | |
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Vertebrate | 91.9 | |
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Black | 89.8 | |
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Flash photography | 88.5 | |
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Standing | 86.4 | |
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Black-and-white | 85.7 | |
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Grey | 84.5 | |
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Style | 84 | |
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Line | 82.3 | |
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Wood | 79.8 | |
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Happy | 79.3 | |
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Monochrome | 78 | |
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Tints and shades | 77.3 | |
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Monochrome photography | 76.6 | |
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Snapshot | 74.3 | |
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Human leg | 73.6 | |
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Darkness | 65.6 | |
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Sitting | 64.9 | |
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Stock photography | 64.6 | |
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Microsoft
created on 2022-07-01
water | 96.2 | |
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clothing | 81.5 | |
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lake | 75.9 | |
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black and white | 73.9 | |
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person | 66.6 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 25-35 |
Gender | Female, 81.1% |
Calm | 49.6% |
Happy | 25% |
Surprised | 8.2% |
Fear | 7.9% |
Sad | 7.6% |
Angry | 4.3% |
Confused | 2% |
Disgusted | 1.8% |
Feature analysis
Amazon
Person | 99.5% | |
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