Machine Generated Data
Tags
Amazon
created on 2023-10-12
Adult | 99.3 | |
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Female | 99.3 | |
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Person | 99.3 | |
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Woman | 99.3 | |
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Adult | 99.2 | |
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Person | 99.2 | |
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Male | 99.2 | |
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Man | 99.2 | |
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Furniture | 99.2 | |
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Table | 99.2 | |
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Adult | 97.2 | |
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Person | 97.2 | |
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Male | 97.2 | |
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Man | 97.2 | |
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Accessories | 94.7 | |
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Glasses | 94.7 | |
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Clothing | 92.4 | |
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Coat | 92.4 | |
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Shirt | 91.9 | |
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Face | 84.7 | |
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Head | 84.7 | |
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Photography | 83.5 | |
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Portrait | 83.5 | |
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Glasses | 73.8 | |
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Dining Table | 73.8 | |
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Formal Wear | 73.7 | |
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Person | 67.8 | |
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Desk | 67.6 | |
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Photographic Film | 63.6 | |
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Art | 56.9 | |
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Collage | 56.9 | |
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Suit | 56.7 | |
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Architecture | 56.5 | |
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Building | 56.5 | |
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Dining Room | 56.5 | |
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Indoors | 56.5 | |
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Room | 56.5 | |
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Tie | 56.3 | |
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Hospital | 56.3 | |
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Text | 56 | |
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Sitting | 55.9 | |
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Clinic | 55.6 | |
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Clarifai
created on 2023-10-12
Imagga
created on 2019-01-31
Google
created on 2019-01-31
Photograph | 96.5 | |
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Snapshot | 84.7 | |
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Stock photography | 77.3 | |
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Photography | 70.6 | |
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Black-and-white | 68.3 | |
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Room | 65.7 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-31 |
Gender | Female, 78.5% |
Calm | 99.8% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Happy | 0.2% |
Confused | 0% |
Disgusted | 0% |
Angry | 0% |

AWS Rekognition
Age | 31-41 |
Gender | Male, 98.8% |
Calm | 66.7% |
Surprised | 15.1% |
Happy | 9.5% |
Fear | 6.2% |
Confused | 5.1% |
Disgusted | 3.5% |
Sad | 2.5% |
Angry | 2.1% |

AWS Rekognition
Age | 28-38 |
Gender | Male, 90.5% |
Calm | 56.6% |
Disgusted | 13.1% |
Happy | 10.6% |
Sad | 7.8% |
Surprised | 7.2% |
Fear | 6.7% |
Confused | 4.4% |
Angry | 2.2% |
Feature analysis
Categories
Imagga
interior objects | 62.1% | |
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people portraits | 20.9% | |
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paintings art | 10.8% | |
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text visuals | 3.7% | |
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food drinks | 1.1% | |
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Captions
Microsoft
created on 2019-01-31
a group of people posing for a photo | 85.8% | |
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a group of people posing for the camera | 85.7% | |
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a group of people posing for a photo on a table | 84.8% | |
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Text analysis
Amazon

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