Machine Generated Data
Tags
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 20-38 |
Gender | Male, 59% |
Happy | 7.7% |
Surprised | 11.2% |
Confused | 17% |
Angry | 9.4% |
Sad | 9% |
Calm | 40.1% |
Disgusted | 5.7% |

AWS Rekognition
Age | 16-27 |
Gender | Female, 96.7% |
Happy | 1.3% |
Surprised | 9% |
Angry | 13.9% |
Disgusted | 2.5% |
Sad | 6.4% |
Confused | 5.4% |
Calm | 61.6% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 98.2% |
Disgusted | 40.6% |
Angry | 5.3% |
Calm | 14.3% |
Confused | 4% |
Sad | 28.9% |
Surprised | 3% |
Happy | 3.8% |

AWS Rekognition
Age | 48-68 |
Gender | Female, 52.1% |
Confused | 45.2% |
Surprised | 45.1% |
Disgusted | 45.1% |
Calm | 45.4% |
Angry | 45.3% |
Happy | 45.3% |
Sad | 53.6% |

Microsoft Cognitive Services
Age | 28 |
Gender | Female |

Microsoft Cognitive Services
Age | 28 |
Gender | Female |

Microsoft Cognitive Services
Age | 23 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Unlikely |
Headwear | Unlikely |
Blurred | Very unlikely |
Feature analysis
Captions
Microsoft
a group of people sitting at a table in a restaurant | 73% | |
a group of people in a restaurant | 72.9% | |
a group of people sitting at a table | 72.6% | |