Machine Generated Data
Tags
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 31-47 |
Gender | Female, 54.7% |
Calm | 54.7% |
Disgusted | 45% |
Angry | 45% |
Surprised | 45% |
Happy | 45% |
Fear | 45% |
Sad | 45.2% |
Confused | 45% |

AWS Rekognition
Age | 21-33 |
Gender | Male, 52.6% |
Angry | 50.5% |
Calm | 45.2% |
Fear | 47.8% |
Confused | 45.1% |
Disgusted | 45.5% |
Happy | 45.2% |
Sad | 45.5% |
Surprised | 45.2% |

AWS Rekognition
Age | 23-37 |
Gender | Female, 50.4% |
Calm | 49.7% |
Happy | 49.6% |
Confused | 49.5% |
Fear | 49.5% |
Disgusted | 49.5% |
Surprised | 49.5% |
Sad | 50.1% |
Angry | 49.6% |

Microsoft Cognitive Services
Age | 27 |
Gender | Female |

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 vintage photo of a man and a woman sitting on a bench | 73.2% | |
a vintage photo of a person sitting on a bench | 73.1% | |
a vintage photo of a man and woman sitting on a bench | 68.3% | |