Machine Generated Data
Tags
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 26-43 |
Gender | Female, 51.9% |
Surprised | 45% |
Happy | 45% |
Calm | 45.8% |
Disgusted | 45.1% |
Confused | 45.1% |
Sad | 53.8% |
Angry | 45.2% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 53% |
Confused | 45.2% |
Calm | 46.5% |
Disgusted | 45.3% |
Sad | 45.5% |
Happy | 45% |
Angry | 52.3% |
Surprised | 45.1% |

AWS Rekognition
Age | 29-45 |
Gender | Female, 50.4% |
Disgusted | 47.3% |
Happy | 45.3% |
Angry | 45.8% |
Calm | 49.1% |
Surprised | 45.3% |
Confused | 45.3% |
Sad | 46.9% |

AWS Rekognition
Age | 30-47 |
Gender | Male, 78.4% |
Sad | 4% |
Angry | 3.2% |
Disgusted | 0.5% |
Surprised | 1.2% |
Happy | 5.7% |
Calm | 83.5% |
Confused | 1.8% |

Microsoft Cognitive Services
Age | 26 |
Gender | Male |
Feature analysis
Captions
Microsoft
a vintage photo of a person | 82.9% | |
a vintage photo of a kitchen | 81.7% | |
an old photo of a person | 81.6% | |