Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 35-52 |
Gender | Male, 97.3% |
Angry | 4.5% |
Happy | 5.6% |
Sad | 29.6% |
Confused | 9.9% |
Disgusted | 1.1% |
Calm | 43.4% |
Surprised | 5.8% |

AWS Rekognition
Age | 26-43 |
Gender | Female, 98.6% |
Angry | 2.4% |
Sad | 6.4% |
Disgusted | 1% |
Calm | 83.4% |
Confused | 3.1% |
Surprised | 2.3% |
Happy | 1.4% |

Microsoft Cognitive Services
Age | 51 |
Gender | Male |

Microsoft Cognitive Services
Age | 34 |
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
Amazon
Person | 98.4% | |
Categories
Imagga
paintings art | 68.8% | |
text visuals | 14.3% | |
cars vehicles | 5.8% | |
interior objects | 4.8% | |
streetview architecture | 2.7% | |
food drinks | 2.5% | |