Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 31-41 |
Gender | Male, 99.8% |
Confused | 91.7% |
Disgusted | 4.1% |
Angry | 2.9% |
Sad | 0.6% |
Fear | 0.2% |
Calm | 0.2% |
Surprised | 0.2% |
Happy | 0.1% |

AWS Rekognition
Age | 39-47 |
Gender | Male, 99.3% |
Confused | 37.2% |
Angry | 34.2% |
Sad | 20.8% |
Calm | 4.6% |
Surprised | 1.3% |
Disgusted | 1.2% |
Fear | 0.6% |
Happy | 0.1% |

Microsoft Cognitive Services
Age | 48 |
Gender | Male |

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
interior objects | 91.4% | |
food drinks | 3% | |
pets animals | 2.6% | |
paintings art | 1.2% | |