Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 26-43 |
Gender | Female, 55.8% |
Surprised | 68.4% |
Angry | 2.9% |
Disgusted | 12.8% |
Happy | 2.5% |
Confused | 4.4% |
Calm | 6.3% |
Sad | 2.6% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 84.9% |
Disgusted | 2.6% |
Sad | 11.2% |
Calm | 65.3% |
Angry | 5.2% |
Surprised | 4.5% |
Happy | 5.5% |
Confused | 5.6% |

Microsoft Cognitive Services
Age | 46 |
Gender | Male |

Microsoft Cognitive Services
Age | 13 |
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
people portraits | 61.8% | |
paintings art | 32.7% | |
events parties | 2.2% | |
food drinks | 1.4% | |
pets animals | 1% | |