Machine Generated Data
Tags
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 5-15 |
Gender | Male, 55.4% |
Sad | 15.2% |
Confused | 2.8% |
Surprised | 1.4% |
Angry | 1.1% |
Calm | 36.6% |
Fear | 1.6% |
Disgusted | 3% |
Happy | 38.4% |

AWS Rekognition
Age | 23-35 |
Gender | Female, 65% |
Happy | 2.4% |
Surprised | 3.6% |
Calm | 10.2% |
Fear | 8.1% |
Sad | 7.3% |
Disgusted | 2.6% |
Confused | 1.9% |
Angry | 64% |

Microsoft Cognitive Services
Age | 4 |
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 | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 99.2% | |
Captions
Microsoft
a person standing in front of a whiteboard | 57.9% | |
a close up of a whiteboard | 57.8% | |
a close up of text on a whiteboard | 55.3% | |