Machine Generated Data
Tags
Face analysis
Amazon

AWS Rekognition
Age | 20-28 |
Gender | Female, 74.4% |
Calm | 53.8% |
Sad | 27.7% |
Happy | 15.5% |
Angry | 1.1% |
Disgusted | 0.8% |
Confused | 0.5% |
Surprised | 0.3% |
Fear | 0.2% |

AWS Rekognition
Age | 34-42 |
Gender | Female, 95.2% |
Calm | 95.8% |
Sad | 2.2% |
Happy | 1.2% |
Confused | 0.3% |
Surprised | 0.2% |
Disgusted | 0.1% |
Angry | 0.1% |
Fear | 0.1% |

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 |

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 person driving a car | 85.3% | |
a vintage photo of a car | 85.2% | |
a vintage photo of a person in a car | 85.1% | |