Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.2% |
Calm | 53.1% |
Angry | 45.2% |
Sad | 46.1% |
Confused | 45.1% |
Surprised | 45.1% |
Happy | 45.2% |
Disgusted | 45.1% |

AWS Rekognition
Age | 12-22 |
Gender | Female, 53.3% |
Angry | 46.8% |
Disgusted | 45.3% |
Surprised | 47.4% |
Happy | 45.5% |
Calm | 47.3% |
Sad | 46.9% |
Confused | 45.8% |

AWS Rekognition
Age | 9-14 |
Gender | Male, 52.4% |
Calm | 47% |
Happy | 45.2% |
Sad | 51.2% |
Angry | 45.7% |
Confused | 45.5% |
Disgusted | 45.1% |
Surprised | 45.3% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 55% |
Calm | 48.7% |
Happy | 45.5% |
Sad | 46% |
Angry | 45.5% |
Confused | 46.2% |
Disgusted | 45.5% |
Surprised | 47.5% |

AWS Rekognition
Age | 45-65 |
Gender | Female, 50.5% |
Confused | 49.5% |
Angry | 49.5% |
Disgusted | 49.5% |
Calm | 49.5% |
Happy | 49.5% |
Surprised | 49.5% |
Sad | 50.4% |
Feature analysis
Categories
Imagga
interior objects | 97.6% | |
food drinks | 1.3% | |
Captions
Microsoft
created on 2019-06-05
a group of people in a room | 82.2% | |
a group of people standing in a room | 75.6% | |
a group of people in a store | 49.5% | |