Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 14-26 |
Gender | Female, 97.5% |
Angry | 0.2% |
Confused | 0.1% |
Disgusted | 0.1% |
Fear | 0% |
Surprised | 0% |
Calm | 99% |
Happy | 0.2% |
Sad | 0.3% |

AWS Rekognition
Age | 2-8 |
Gender | Female, 82.9% |
Fear | 2% |
Angry | 10.2% |
Disgusted | 0.9% |
Surprised | 32.4% |
Happy | 0.8% |
Sad | 2.1% |
Calm | 39.5% |
Confused | 12.1% |

Microsoft Cognitive Services
Age | 24 |
Gender | Female |

Microsoft Cognitive Services
Age | 3 |
Gender | Female |

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 | 70.1% | |
paintings art | 25.9% | |
food drinks | 3.2% | |