Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 6-16 |
Gender | Male, 90.6% |
Calm | 97.2% |
Angry | 0.9% |
Sad | 0.7% |
Happy | 0.4% |
Disgusted | 0.3% |
Fear | 0.2% |
Confused | 0.2% |
Surprised | 0.2% |

AWS Rekognition
Age | 18-24 |
Gender | Female, 91.4% |
Calm | 39.4% |
Fear | 21% |
Sad | 19.6% |
Angry | 10.6% |
Happy | 6.7% |
Confused | 1.5% |
Disgusted | 0.8% |
Surprised | 0.5% |

AWS Rekognition
Age | 25-35 |
Gender | Female, 87.9% |
Calm | 75.6% |
Sad | 22.6% |
Confused | 0.6% |
Disgusted | 0.3% |
Happy | 0.3% |
Surprised | 0.2% |
Angry | 0.2% |
Fear | 0.2% |

AWS Rekognition
Age | 20-28 |
Gender | Male, 98.4% |
Calm | 78% |
Angry | 7.2% |
Sad | 5.7% |
Happy | 3.2% |
Fear | 2.8% |
Disgusted | 1.8% |
Surprised | 0.9% |
Confused | 0.4% |
Feature analysis
Categories
Imagga
cars vehicles | 81.7% | |
nature landscape | 6.7% | |
text visuals | 4.9% | |
beaches seaside | 4.8% | |
Captions
Microsoft
created on 2022-01-09
a vintage photo of a person | 89.8% | |
a vintage photo of a person | 89.7% | |
a vintage photo of some people | 89.6% | |