Machine Generated Data
Tags
Amazon
created on 2019-03-26
Human | 99 | |
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Person | 99 | |
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Face | 98.8 | |
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Person | 98.5 | |
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Accessory | 98.4 | |
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Tie | 98.4 | |
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Accessories | 98.4 | |
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Apparel | 96.5 | |
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Clothing | 96.5 | |
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Smile | 94.7 | |
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Overcoat | 93 | |
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Coat | 93 | |
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Female | 90.8 | |
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Suit | 88.2 | |
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Head | 80.7 | |
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Girl | 74.6 | |
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Photography | 74.1 | |
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Portrait | 74.1 | |
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Photo | 74.1 | |
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Man | 73.5 | |
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People | 72.4 | |
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Woman | 72.3 | |
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Advertisement | 70.7 | |
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Poster | 70.7 | |
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Kid | 66.3 | |
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Child | 66.3 | |
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Jaw | 59.2 | |
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Teen | 58.8 | |
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Indoors | 58.7 | |
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Wedding | 57.7 | |
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Bridegroom | 57.7 | |
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Collage | 57.6 | |
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Tuxedo | 57.3 | |
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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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Hairstyle | 84.2 | |
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Snapshot | 84.1 | |
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Black-and-white | 78.1 | |
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Photography | 72.5 | |
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Stock photography | 72.2 | |
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Vintage clothing | 71.7 | |
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Retro style | 58.6 | |
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Photographic paper | 57.6 | |
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Family | 56.1 | |
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Portrait | 55.1 | |
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Monochrome | 54.4 | |
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Gentleman | 51.3 | |
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Style | 51 | |
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Art | 50.2 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 26-43 |
Gender | Male, 83.9% |
Disgusted | 1.3% |
Happy | 32.3% |
Angry | 3.5% |
Sad | 37.2% |
Calm | 18.7% |
Confused | 2.9% |
Surprised | 4.1% |
AWS Rekognition
Age | 23-38 |
Gender | Female, 69% |
Sad | 12% |
Happy | 71.9% |
Angry | 5.1% |
Disgusted | 1.3% |
Confused | 2.1% |
Calm | 3.7% |
Surprised | 3.8% |
Feature analysis
Text analysis
Amazon
YT3A-AO
YT33A2
-XAGOX
AI YT3A-AO YT33A2 -XAGOX
AI