Machine Generated Data
Tags
Face analysis
Amazon

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.5% |
Happy | 49.5% |
Angry | 49.6% |
Disgusted | 49.5% |
Sad | 49.6% |
Surprised | 49.5% |
Confused | 49.6% |
Calm | 50.1% |

AWS Rekognition
Age | 16-27 |
Gender | Male, 50% |
Disgusted | 49.5% |
Confused | 49.6% |
Surprised | 49.5% |
Calm | 49.8% |
Angry | 49.9% |
Happy | 49.5% |
Sad | 49.6% |

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

AWS Rekognition
Age | 4-9 |
Gender | Male, 50.4% |
Disgusted | 49.5% |
Confused | 49.5% |
Happy | 49.5% |
Angry | 49.6% |
Calm | 49.7% |
Surprised | 49.5% |
Sad | 50.1% |

AWS Rekognition
Age | 26-44 |
Gender | Male, 50.4% |
Happy | 49.5% |
Calm | 49.6% |
Confused | 49.6% |
Angry | 49.6% |
Sad | 49.9% |
Disgusted | 49.6% |
Surprised | 49.6% |
Feature analysis
Captions
Microsoft
a black and white photo of a book shelf | 57.8% | |
a black and white photo of a store | 57.7% | |
a black and white photo of a city | 57.6% | |