Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-38 |
Gender | Female, 52.3% |
Calm | 51.9% |
Happy | 45.5% |
Angry | 45.2% |
Sad | 45.3% |
Surprised | 46.2% |
Confused | 45.3% |
Disgusted | 45.5% |

AWS Rekognition
Age | 4-9 |
Gender | Female, 54.3% |
Calm | 50.2% |
Disgusted | 45.4% |
Confused | 45.7% |
Angry | 45.4% |
Happy | 45.3% |
Sad | 47.3% |
Surprised | 45.5% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 52.4% |
Surprised | 45.6% |
Confused | 45.3% |
Happy | 45.8% |
Angry | 45.4% |
Calm | 45.9% |
Sad | 50.4% |
Disgusted | 46.5% |

AWS Rekognition
Age | 30-47 |
Gender | Female, 52.5% |
Disgusted | 46.1% |
Calm | 52.3% |
Surprised | 45.5% |
Angry | 45.5% |
Sad | 45.3% |
Confused | 45.2% |
Happy | 45.1% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 52% |
Sad | 47.7% |
Confused | 45.3% |
Angry | 47.1% |
Surprised | 45.2% |
Happy | 45.3% |
Calm | 49.2% |
Disgusted | 45.2% |
Feature analysis
Categories
Imagga
interior objects | 100% | |
Captions
Microsoft
created on 2019-06-04
a group of people sitting at a dining room table | 89.5% | |
a group of people in a room | 89.4% | |
a group of people sitting at a table in a room | 89.3% | |