Machine Generated Data
Tags
Face analysis
Amazon

AWS Rekognition
Age | 11-18 |
Gender | Female, 50.4% |
Angry | 49.5% |
Sad | 50.4% |
Calm | 49.5% |
Confused | 49.5% |
Surprised | 49.5% |
Happy | 49.5% |
Disgusted | 49.5% |

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

AWS Rekognition
Age | 15-25 |
Gender | Female, 50.2% |
Angry | 49.5% |
Confused | 49.5% |
Disgusted | 50% |
Surprised | 49.5% |
Sad | 49.6% |
Calm | 49.8% |
Happy | 49.5% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.4% |
Happy | 49.5% |
Calm | 50.3% |
Surprised | 49.5% |
Angry | 49.5% |
Confused | 49.5% |
Disgusted | 49.5% |
Sad | 49.6% |

AWS Rekognition
Age | 35-52 |
Gender | Male, 50.1% |
Surprised | 49.5% |
Confused | 49.5% |
Calm | 49.5% |
Sad | 49.5% |
Happy | 49.5% |
Disgusted | 50.3% |
Angry | 49.6% |
Feature analysis
Captions
Microsoft
a black and white photo of a busy city street | 98.8% | |
a vintage photo of a busy city street | 98.6% | |
a black sign with white text on a busy city street | 98.5% | |