Machine Generated Data
Tags
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 35-51 |
Gender | Male, 97.7% |
Calm | 56.1% |
Sad | 20.7% |
Angry | 14.5% |
Surprised | 1.3% |
Disgusted | 1.2% |
Happy | 1.9% |
Fear | 1.6% |
Confused | 2.8% |

AWS Rekognition
Age | 32-48 |
Gender | Female, 54.7% |
Calm | 46.9% |
Happy | 51.4% |
Confused | 45% |
Fear | 45.1% |
Sad | 46.2% |
Disgusted | 45% |
Angry | 45.3% |
Surprised | 45.1% |

AWS Rekognition
Age | 23-35 |
Gender | Male, 53.6% |
Happy | 45.1% |
Calm | 54% |
Angry | 45.4% |
Surprised | 45.1% |
Sad | 45.2% |
Confused | 45.1% |
Disgusted | 45.1% |
Fear | 45% |

Microsoft Cognitive Services
Age | 38 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very likely |
Blurred | Very unlikely |
Feature analysis
Captions
Microsoft
a vintage photo of a person | 73.6% | |
a vintage photo of a person | 72.5% | |
a vintage photo of a person in a room | 72.4% | |