Machine Generated Data
Tags
Amazon
created on 2019-03-26
Clothing | 99.9 | |
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Apparel | 99.9 | |
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Person | 99.4 | |
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Human | 99.4 | |
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Person | 97.7 | |
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Face | 94.6 | |
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Sleeve | 92.7 | |
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Female | 86.7 | |
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Shirt | 86.4 | |
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Home Decor | 85.8 | |
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Fashion | 82.3 | |
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Robe | 82.3 | |
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Coat | 79.5 | |
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Overcoat | 79.5 | |
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Gown | 78.8 | |
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Suit | 78.4 | |
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Woman | 72.4 | |
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Wedding | 70.8 | |
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Portrait | 69.8 | |
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Photo | 69.8 | |
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Photography | 69.8 | |
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Glasses | 66.8 | |
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Accessories | 66.8 | |
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Accessory | 66.8 | |
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Wedding Gown | 66.6 | |
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Man | 65.1 | |
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Finger | 65.1 | |
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Long Sleeve | 64.5 | |
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People | 62.7 | |
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Sunglasses | 62 | |
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Linen | 59.5 | |
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Dress | 59.2 | |
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Evening Dress | 58.7 | |
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Skin | 58.1 | |
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Girl | 56 | |
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Clarifai
created on 2019-03-26
Imagga
created on 2019-03-26
Google
created on 2019-03-26
Photograph | 97.3 | |
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White | 95.5 | |
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People | 94.7 | |
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Snapshot | 84.7 | |
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Black-and-white | 74.4 | |
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Photography | 67.8 | |
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Adaptation | 67 | |
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Stock photography | 66.6 | |
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Family | 65 | |
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Vintage clothing | 64.7 | |
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Monochrome | 64.3 | |
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Gentleman | 61.7 | |
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Monochrome photography | 57.8 | |
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Style | 51 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 30-47 |
Gender | Male, 94.1% |
Sad | 4.9% |
Angry | 5.4% |
Disgusted | 6.8% |
Calm | 73.5% |
Surprised | 3.4% |
Confused | 2.5% |
Happy | 3.4% |
AWS Rekognition
Age | 35-52 |
Gender | Male, 72.8% |
Sad | 4.4% |
Angry | 2.5% |
Disgusted | 3.2% |
Calm | 77.3% |
Surprised | 4.9% |
Confused | 3.4% |
Happy | 4.2% |