Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.3% |
Disgusted | 49.6% |
Happy | 49.5% |
Sad | 49.6% |
Calm | 50.1% |
Angry | 49.5% |
Confused | 49.5% |
Surprised | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 51.4% |
Angry | 45.3% |
Surprised | 45.3% |
Calm | 53.2% |
Happy | 45.4% |
Disgusted | 45.3% |
Sad | 45.4% |
Confused | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.4% |
Surprised | 49.5% |
Calm | 49.5% |
Happy | 49.6% |
Sad | 50.2% |
Angry | 49.6% |
Confused | 49.5% |
Disgusted | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.1% |
Disgusted | 49.5% |
Sad | 49.6% |
Calm | 50.3% |
Happy | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |
Angry | 49.5% |
Feature analysis
Categories
Imagga
interior objects | 86.9% | |
food drinks | 9.3% | |
paintings art | 2.6% | |
Captions
Microsoft
created on 2019-06-04
a group of people in a room | 56.4% | |