Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-28 |
Gender | Male, 88% |
Happy | 82.1% |
Calm | 12.8% |
Sad | 1.7% |
Angry | 1.7% |
Confused | 0.5% |
Fear | 0.5% |
Disgusted | 0.3% |
Surprised | 0.3% |

AWS Rekognition
Age | 18-26 |
Gender | Female, 58.6% |
Calm | 60.1% |
Sad | 23.8% |
Confused | 5.1% |
Fear | 3.7% |
Happy | 2.4% |
Angry | 2.1% |
Surprised | 1.6% |
Disgusted | 1.3% |

AWS Rekognition
Age | 21-29 |
Gender | Female, 68.1% |
Calm | 39.9% |
Fear | 36% |
Confused | 10.5% |
Sad | 6.1% |
Happy | 3.3% |
Disgusted | 2% |
Angry | 1.3% |
Surprised | 1% |

AWS Rekognition
Age | 19-27 |
Gender | Male, 75% |
Calm | 60.1% |
Sad | 20.4% |
Fear | 7% |
Angry | 4.8% |
Surprised | 3.2% |
Confused | 1.9% |
Disgusted | 1.3% |
Happy | 1.3% |

AWS Rekognition
Age | 18-24 |
Gender | Female, 59.5% |
Happy | 53.3% |
Calm | 33.2% |
Fear | 4.6% |
Sad | 4.1% |
Angry | 1.8% |
Surprised | 1.5% |
Disgusted | 0.8% |
Confused | 0.8% |
Feature analysis
Categories
Imagga
cars vehicles | 68.9% | |
food drinks | 9.8% | |
interior objects | 8.3% | |
paintings art | 7% | |
nature landscape | 4% | |
Captions
Microsoft
created on 2022-01-15
an old photo of a ship | 55.1% | |
an old photo of a person | 55% | |