Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 4-9 |
Gender | Male, 50.3% |
Angry | 46.1% |
Disgusted | 45.3% |
Confused | 45.7% |
Calm | 46.6% |
Happy | 45.3% |
Surprised | 45.5% |
Sad | 50.5% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 50.5% |
Calm | 49.5% |
Sad | 50.4% |
Surprised | 49.5% |
Angry | 49.5% |
Happy | 49.5% |
Confused | 49.5% |
Disgusted | 49.5% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 54.9% |
Surprised | 45.2% |
Happy | 45.2% |
Sad | 53.4% |
Angry | 45.4% |
Disgusted | 45.3% |
Confused | 45.3% |
Calm | 45.3% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.4% |
Confused | 49.5% |
Happy | 49.5% |
Sad | 49.5% |
Disgusted | 50.4% |
Angry | 49.5% |
Calm | 49.5% |
Surprised | 49.5% |
Feature analysis
Categories
Imagga
paintings art | 30.4% | |
beaches seaside | 30.3% | |
nature landscape | 22.3% | |
streetview architecture | 10.1% | |
text visuals | 3.7% | |
food drinks | 1% | |
Captions
Microsoft
created on 2019-06-06
a vintage photo of a group of people in the water | 79% | |
a vintage photo of some people in the water | 78.9% | |
a vintage photo of some people by the water | 78.7% | |