Machine Generated Data
Tags
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 23-38 |
Gender | Male, 84.4% |
Angry | 13.9% |
Disgusted | 1.5% |
Sad | 35% |
Happy | 0.2% |
Calm | 34.8% |
Surprised | 1.1% |
Confused | 13.4% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 60.6% |
Happy | 9.8% |
Surprised | 2.1% |
Sad | 2.2% |
Angry | 1.6% |
Disgusted | 0.5% |
Confused | 1.3% |
Calm | 82.3% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 74.5% |
Calm | 67.2% |
Surprised | 9% |
Sad | 4.1% |
Angry | 4.1% |
Disgusted | 2.6% |
Confused | 5.5% |
Happy | 7.5% |

AWS Rekognition
Age | 19-36 |
Gender | Female, 66.2% |
Calm | 67.6% |
Surprised | 8.4% |
Disgusted | 3.5% |
Angry | 6.2% |
Sad | 7.7% |
Confused | 3.6% |
Happy | 3.1% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 72.2% |
Happy | 7.3% |
Angry | 6% |
Calm | 61% |
Confused | 4% |
Disgusted | 1.7% |
Sad | 6% |
Surprised | 13.9% |

Microsoft Cognitive Services
Age | 38 |
Gender | Female |

Microsoft Cognitive Services
Age | 56 |
Gender | Male |

Microsoft Cognitive Services
Age | 30 |
Gender | Female |
Feature analysis
Amazon
Person | 87.9% | |
Captions
Microsoft
a photo of a building | 30% | |
a close up of a building | 29.9% | |
a picture of a building | 29.8% | |