Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 26-43 |
Gender | Male, 74.4% |
Disgusted | 2.4% |
Surprised | 2.9% |
Happy | 3.6% |
Confused | 10.2% |
Calm | 4.3% |
Sad | 70.8% |
Angry | 5.8% |

AWS Rekognition
Age | 57-77 |
Gender | Male, 97.6% |
Surprised | 0.4% |
Confused | 0.7% |
Disgusted | 0.5% |
Calm | 95.8% |
Angry | 0.6% |
Sad | 1.8% |
Happy | 0.2% |

Microsoft Cognitive Services
Age | 27 |
Gender | Female |

Microsoft Cognitive Services
Age | 39 |
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 | Likely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 68.3% | |
people portraits | 31.2% | |
pets animals | 0.3% | |
food drinks | 0.1% | |
nature landscape | 0.1% | |