Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 41-49 |
Gender | Female, 53.9% |
Happy | 92.7% |
Calm | 3.9% |
Surprised | 1.3% |
Angry | 1% |
Sad | 0.5% |
Disgusted | 0.3% |
Confused | 0.2% |
Fear | 0.2% |

AWS Rekognition
Age | 39-47 |
Gender | Male, 94.4% |
Sad | 72% |
Calm | 15% |
Confused | 3.7% |
Angry | 3.1% |
Surprised | 2.3% |
Fear | 1.7% |
Disgusted | 1.7% |
Happy | 0.5% |

AWS Rekognition
Age | 16-22 |
Gender | Male, 62.3% |
Sad | 58.1% |
Calm | 31.2% |
Happy | 5.5% |
Confused | 2.3% |
Angry | 1.1% |
Surprised | 0.9% |
Fear | 0.4% |
Disgusted | 0.4% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
interior objects | 96.5% | |
food drinks | 1.5% | |
Captions
Microsoft
created on 2022-02-26
a group of people posing for the camera | 79.2% | |
a group of people posing for a picture | 78.5% | |
a group of people posing for a photo | 70.7% | |