Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 19-27 |
Gender | Male, 99.7% |
Calm | 97.7% |
Sad | 1.2% |
Confused | 0.3% |
Angry | 0.3% |
Surprised | 0.3% |
Disgusted | 0.1% |
Happy | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 33-41 |
Gender | Male, 89.7% |
Calm | 100% |
Happy | 0% |
Sad | 0% |
Disgusted | 0% |
Confused | 0% |
Surprised | 0% |
Angry | 0% |
Fear | 0% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 46.1% | |
paintings art | 21% | |
nature landscape | 13.3% | |
streetview architecture | 6.6% | |
pets animals | 4.8% | |
beaches seaside | 4.3% | |
food drinks | 1.4% | |