Machine Generated Data
Tags
Amazon
created on 2019-08-09
Furniture | 100 | |
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Person | 98.3 | |
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Human | 98.3 | |
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Apparel | 97.8 | |
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Clothing | 97.8 | |
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Wheel | 96 | |
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Machine | 96 | |
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Person | 94.1 | |
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Person | 93 | |
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Wheelchair | 87.4 | |
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Suit | 85.9 | |
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Coat | 85.9 | |
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Overcoat | 85.9 | |
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Shirt | 79.5 | |
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Footwear | 76.7 | |
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Shoe | 76.7 | |
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Accessory | 76.2 | |
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Accessories | 76.2 | |
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Tie | 76.2 | |
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Bicycle | 73.2 | |
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Bike | 73.2 | |
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Transportation | 73.2 | |
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Vehicle | 73.2 | |
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Chair | 70.9 | |
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Tie | 65.5 | |
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Lab Coat | 57.5 | |
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Shoe | 57.2 | |
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Photo | 56.5 | |
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Photography | 56.5 | |
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Face | 56.5 | |
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Portrait | 56.5 | |
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Tuxedo | 56.3 | |
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Clinic | 55.2 | |
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Clarifai
created on 2019-08-09
Imagga
created on 2019-08-09
Google
created on 2019-08-09
Photograph | 97.3 | |
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Product | 88.3 | |
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Snapshot | 87.5 | |
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Gentleman | 83.2 | |
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Standing | 81.9 | |
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Suit | 74.2 | |
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Photography | 72.5 | |
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Black-and-white | 68.3 | |
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Stock photography | 62.1 | |
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Monochrome | 60.1 | |
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Sitting | 57.5 | |
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Classic | 56.7 | |
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Family | 56.6 | |
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Vintage clothing | 55.9 | |
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Formal wear | 52.3 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 47-65 |
Gender | Female, 64.7% |
Sad | 11% |
Calm | 83.3% |
Disgusted | 0.3% |
Confused | 1.8% |
Fear | 0.3% |
Angry | 0.7% |
Surprised | 0.9% |
Happy | 1.7% |

AWS Rekognition
Age | 26-42 |
Gender | Male, 63.4% |
Confused | 0.1% |
Calm | 0.4% |
Angry | 1.7% |
Sad | 4.9% |
Surprised | 1.2% |
Fear | 91.6% |
Happy | 0.1% |
Disgusted | 0% |

AWS Rekognition
Age | 29-45 |
Gender | Female, 90.6% |
Sad | 16.1% |
Surprised | 2.1% |
Calm | 59.9% |
Disgusted | 0.4% |
Angry | 0.8% |
Confused | 2.7% |
Fear | 17.2% |
Happy | 0.9% |
Feature analysis
Categories
Imagga
people portraits | 97.6% | |
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events parties | 1.4% | |
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Captions
Microsoft
created on 2019-08-09
a group of people posing for a photo | 90.2% | |
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a group of men posing for a photo | 89.8% | |
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a group of people standing next to a man in a suit and tie | 89.7% | |
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Text analysis
Amazon

10

10

10