Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 38-59 |
Gender | Female, 52.4% |
Surprised | 45.1% |
Happy | 45.1% |
Disgusted | 45.2% |
Calm | 45.4% |
Sad | 53.7% |
Angry | 45.3% |
Confused | 45.2% |

AWS Rekognition
Age | 4-9 |
Gender | Female, 50% |
Angry | 49.7% |
Confused | 49.6% |
Disgusted | 49.7% |
Surprised | 49.6% |
Sad | 49.8% |
Calm | 49.6% |
Happy | 49.5% |

AWS Rekognition
Age | 26-44 |
Gender | Male, 50.2% |
Calm | 49.6% |
Sad | 49.6% |
Confused | 49.6% |
Disgusted | 49.8% |
Happy | 49.8% |
Surprised | 49.5% |
Angry | 49.7% |

AWS Rekognition
Age | 26-44 |
Gender | Male, 50.3% |
Confused | 49.5% |
Sad | 49.6% |
Calm | 49.8% |
Disgusted | 49.6% |
Happy | 49.6% |
Surprised | 49.6% |
Angry | 49.7% |
Feature analysis
Categories
Imagga
food drinks | 67% | |
events parties | 18.9% | |
nature landscape | 4.4% | |
streetview architecture | 3.4% | |
paintings art | 1.9% | |
macro flowers | 1.4% | |
pets animals | 1.1% | |
text visuals | 0.7% | |
interior objects | 0.7% | |
people portraits | 0.3% | |
beaches seaside | 0.1% | |
cars vehicles | 0.1% | |