Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 38-46 |
Gender | Male, 67.2% |
Calm | 98.2% |
Surprised | 6.5% |
Fear | 5.9% |
Sad | 2.2% |
Disgusted | 0.5% |
Happy | 0.2% |
Angry | 0.2% |
Confused | 0.1% |

AWS Rekognition
Age | 26-36 |
Gender | Female, 66.9% |
Calm | 71.5% |
Sad | 39.1% |
Surprised | 6.6% |
Fear | 6% |
Happy | 1.9% |
Confused | 1.1% |
Angry | 0.5% |
Disgusted | 0.4% |

AWS Rekognition
Age | 42-50 |
Gender | Male, 98.4% |
Sad | 99.4% |
Confused | 19.9% |
Calm | 8.3% |
Surprised | 6.5% |
Fear | 6.1% |
Happy | 4.1% |
Disgusted | 3.5% |
Angry | 0.8% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 96.7% |
Calm | 75.9% |
Sad | 14.3% |
Surprised | 7.8% |
Fear | 6.6% |
Disgusted | 1.6% |
Confused | 1.5% |
Happy | 1.3% |
Angry | 1.1% |

AWS Rekognition
Age | 33-41 |
Gender | Female, 85.9% |
Sad | 90% |
Happy | 25.3% |
Confused | 15.5% |
Disgusted | 8% |
Fear | 7% |
Surprised | 6.7% |
Calm | 4.8% |
Angry | 0.8% |
Feature analysis
Categories
Imagga
cars vehicles | 51.2% | |
food drinks | 15.9% | |
text visuals | 12.1% | |
interior objects | 12% | |
paintings art | 4.1% | |
events parties | 3.6% | |