Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 24-34 |
Gender | Female, 100% |
Happy | 70.1% |
Angry | 17.5% |
Fear | 5.3% |
Calm | 2.5% |
Sad | 2.1% |
Confused | 1.3% |
Surprised | 0.8% |
Disgusted | 0.5% |

AWS Rekognition
Age | 0-3 |
Gender | Female, 99.6% |
Surprised | 63.2% |
Calm | 33.5% |
Happy | 2.2% |
Disgusted | 0.4% |
Confused | 0.3% |
Angry | 0.2% |
Sad | 0.2% |
Fear | 0.1% |

Microsoft Cognitive Services
Age | 32 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Possible |
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 | 84.9% | |
Categories
Imagga
food drinks | 94% | |
paintings art | 4.6% | |
people portraits | 1.1% | |
Captions
Microsoft
created on 2022-01-22
a vintage photo of a group of people posing for the camera | 76.1% | |
a vintage photo of a person | 76% | |
a vintage photo of a man and woman posing for a picture | 59.7% | |