Machine Generated Data
Tags
Face analysis
Amazon

AWS Rekognition
Age | 22-34 |
Gender | Female, 54.1% |
Happy | 45% |
Disgusted | 45% |
Calm | 45.1% |
Sad | 54.6% |
Surprised | 45% |
Confused | 45.1% |
Fear | 45.2% |
Angry | 45% |

AWS Rekognition
Age | 41-59 |
Gender | Female, 50.2% |
Angry | 49.5% |
Confused | 49.5% |
Disgusted | 49.5% |
Happy | 49.9% |
Sad | 49.5% |
Fear | 49.5% |
Calm | 50.1% |
Surprised | 49.5% |

AWS Rekognition
Age | 26-40 |
Gender | Female, 55% |
Confused | 45% |
Sad | 45.1% |
Happy | 54.7% |
Angry | 45.1% |
Fear | 45% |
Disgusted | 45% |
Calm | 45% |
Surprised | 45% |

AWS Rekognition
Age | 22-34 |
Gender | Female, 50.5% |
Fear | 49.5% |
Calm | 50% |
Disgusted | 49.5% |
Happy | 49.5% |
Sad | 49.8% |
Confused | 49.7% |
Surprised | 49.5% |
Angry | 49.5% |
Feature analysis
Amazon
Person | 98.2% | |
Captions
Microsoft
a kitchen with a large window | 69.5% | |
a black and white photo of a kitchen | 69.4% | |
a kitchen with white cabinets and black appliances | 47.7% | |