Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.3% |
Angry | 49.5% |
Surprised | 50% |
Calm | 49.5% |
Happy | 49.7% |
Confused | 49.6% |
Disgusted | 49.5% |
Sad | 49.6% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50.5% |
Sad | 50.4% |
Angry | 49.5% |
Confused | 49.5% |
Happy | 49.5% |
Disgusted | 49.5% |
Surprised | 49.5% |
Calm | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 50% |
Disgusted | 49.5% |
Confused | 49.6% |
Sad | 49.7% |
Angry | 49.6% |
Happy | 49.6% |
Surprised | 49.6% |
Calm | 49.9% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.5% |
Sad | 49.8% |
Angry | 49.5% |
Calm | 49.6% |
Confused | 49.5% |
Happy | 50% |
Disgusted | 49.5% |
Surprised | 49.5% |
Feature analysis
Categories
Imagga
paintings art | 50.1% | |
streetview architecture | 20.2% | |
cars vehicles | 12.8% | |
interior objects | 11.5% | |
food drinks | 1.4% | |
beaches seaside | 1.2% | |
text visuals | 1.1% | |
Captions
Microsoft
created on 2019-06-05
a vintage photo of some people in a room | 82.3% | |
a vintage photo of a group of people in a room | 77.3% | |
a vintage photo of a store | 70.5% | |