Machine Generated Data
Tags
Amazon
created on 2019-06-01
Clothing | 99.1 | |
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Apparel | 99.1 | |
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Human | 95.6 | |
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Person | 85 | |
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Female | 78.5 | |
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Dress | 72.8 | |
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Face | 68.8 | |
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Photo | 67.9 | |
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Portrait | 67.9 | |
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Photography | 67.9 | |
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Plant | 66.7 | |
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Blossom | 66.7 | |
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Flower | 66.7 | |
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Glass | 64.7 | |
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Sleeve | 63.7 | |
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Fashion | 62.6 | |
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Robe | 62.6 | |
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Suit | 62.1 | |
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Coat | 62.1 | |
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Overcoat | 62.1 | |
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Woman | 60.7 | |
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Indoors | 58.7 | |
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Girl | 57.4 | |
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Art | 57.2 | |
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Gown | 55.4 | |
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Long Sleeve | 55.2 | |
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Clarifai
created on 2019-06-01
Imagga
created on 2019-06-01
Google
created on 2019-06-01
White | 98.3 | |
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Photograph | 95.9 | |
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Room | 71.4 | |
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Black-and-white | 68.3 | |
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Dress | 66.7 | |
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Photography | 62.4 | |
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Microsoft
created on 2019-06-01
sketch | 83.5 | |
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drawing | 73.9 | |
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appliance | 66.3 | |
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white goods | 50.5 | |
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black and white | 50.3 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 38-59 |
Gender | Male, 52.5% |
Sad | 3% |
Angry | 3.5% |
Calm | 38% |
Confused | 4.1% |
Disgusted | 9.1% |
Happy | 33.7% |
Surprised | 8.5% |
Feature analysis
Amazon
Person | 85% | |
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