Machine Generated Data
Tags
Amazon
created on 2019-06-01
Apparel | 100 | |
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Clothing | 100 | |
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Human | 98.9 | |
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Person | 98.9 | |
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Person | 98.1 | |
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Fashion | 96.2 | |
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Robe | 96.2 | |
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Suit | 96.1 | |
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Overcoat | 96.1 | |
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Coat | 96.1 | |
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Gown | 95.4 | |
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Plant | 94.5 | |
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Wedding | 92.6 | |
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Tie | 91.6 | |
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Accessory | 91.6 | |
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Accessories | 91.6 | |
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Blossom | 89.7 | |
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Flower | 89.7 | |
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Wedding Gown | 88 | |
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Bride | 88 | |
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Dress | 85.7 | |
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Flower Bouquet | 85.4 | |
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Flower Arrangement | 85.4 | |
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Female | 84.2 | |
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Bridegroom | 83.2 | |
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Tuxedo | 79 | |
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Evening Dress | 77.5 | |
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Woman | 68.3 | |
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Face | 68.1 | |
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Photography | 67.8 | |
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Portrait | 67.8 | |
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Photo | 67.8 | |
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Shirt | 63 | |
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Sleeve | 58.9 | |
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Long Sleeve | 55 | |
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Clarifai
created on 2019-06-01
Imagga
created on 2019-06-01
Google
created on 2019-06-01
Photograph | 97.8 | |
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White | 95.9 | |
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Snapshot | 87.6 | |
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Standing | 79.6 | |
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Gentleman | 76.6 | |
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Photography | 73.8 | |
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Stock photography | 72.8 | |
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Black-and-white | 68.3 | |
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Family | 60.2 | |
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Monochrome | 54.4 | |
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Photographic paper | 53.6 | |
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Style | 51 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 45-63 |
Gender | Female, 71.3% |
Confused | 4.4% |
Disgusted | 3.4% |
Calm | 25.9% |
Angry | 3.5% |
Sad | 6.6% |
Happy | 47.5% |
Surprised | 8.8% |
AWS Rekognition
Age | 35-55 |
Gender | Female, 66.4% |
Sad | 63.6% |
Confused | 4.8% |
Disgusted | 4.2% |
Surprised | 4.3% |
Angry | 5.3% |
Happy | 7.4% |
Calm | 10.3% |
AWS Rekognition
Age | 12-22 |
Gender | Male, 50.1% |
Happy | 49.5% |
Confused | 49.5% |
Disgusted | 49.5% |
Sad | 49.7% |
Calm | 50.2% |
Angry | 49.5% |
Surprised | 49.5% |
Feature analysis
Text analysis
Amazon
MJ13
YT3742
MJ13 YT3742 A3a1
A3a1