Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 23-33 |
Gender | Male, 99.2% |
Happy | 99.4% |
Confused | 0.1% |
Disgusted | 0.1% |
Fear | 0.1% |
Angry | 0.1% |
Sad | 0.1% |
Surprised | 0% |
Calm | 0% |

AWS Rekognition
Age | 35-43 |
Gender | Female, 99.9% |
Happy | 97.8% |
Angry | 1% |
Disgusted | 0.4% |
Surprised | 0.2% |
Fear | 0.2% |
Confused | 0.1% |
Sad | 0.1% |
Calm | 0.1% |

Microsoft Cognitive Services
Age | 27 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very likely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 80.6% | |
events parties | 10.2% | |
food drinks | 4.7% | |
interior objects | 3.2% | |
Captions
Microsoft
created on 2022-02-26
a man and a woman taking a selfie | 65.9% | |
a man and woman taking a selfie | 59.3% | |
a man and a woman looking at the camera | 59.2% | |