Machine Generated Data
Tags
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 7-17 |
Gender | Female, 99.4% |
Calm | 98.7% |
Sad | 0.7% |
Disgusted | 0.3% |
Angry | 0.1% |
Fear | 0.1% |
Confused | 0.1% |
Happy | 0% |
Surprised | 0% |

AWS Rekognition
Age | 1-7 |
Gender | Female, 99.5% |
Happy | 95.3% |
Calm | 1.5% |
Disgusted | 1.3% |
Angry | 0.5% |
Surprised | 0.4% |
Confused | 0.4% |
Fear | 0.3% |
Sad | 0.2% |

Microsoft Cognitive Services
Age | 37 |
Gender | Female |

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Captions
Microsoft
a person standing in front of a mirror posing for the camera | 91.1% | |
a man and woman standing in front of a mirror posing for the camera | 73.3% | |
a person standing in front of a mirror posing for the camera | 73.2% | |