Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 19-27 |
Gender | Male, 96.5% |
Calm | 55.5% |
Sad | 35.3% |
Fear | 4.6% |
Happy | 1.9% |
Disgusted | 0.8% |
Angry | 0.8% |
Confused | 0.7% |
Surprised | 0.4% |

AWS Rekognition
Age | 29-39 |
Gender | Female, 57.6% |
Calm | 91.7% |
Sad | 5.5% |
Happy | 1.8% |
Angry | 0.3% |
Disgusted | 0.3% |
Surprised | 0.2% |
Confused | 0.2% |
Fear | 0.1% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 73.1% |
Calm | 97.4% |
Sad | 1.4% |
Confused | 0.3% |
Happy | 0.3% |
Angry | 0.3% |
Surprised | 0.1% |
Disgusted | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 20-28 |
Gender | Male, 65.1% |
Calm | 97.9% |
Happy | 0.7% |
Sad | 0.6% |
Angry | 0.3% |
Disgusted | 0.1% |
Fear | 0.1% |
Confused | 0.1% |
Surprised | 0.1% |
Feature analysis
Categories
Imagga
cars vehicles | 50.6% | |
beaches seaside | 34.2% | |
nature landscape | 12.6% | |
streetview architecture | 1.3% | |
Captions
Microsoft
created on 2022-01-15
a vintage photo of a large crowd of people | 87.9% | |
a vintage photo of a crowd | 87.8% | |
a vintage photo of a large crowd | 87.7% | |