Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 23-31 |
Gender | Male, 99.3% |
Calm | 97.8% |
Sad | 1% |
Confused | 0.3% |
Fear | 0.2% |
Disgusted | 0.2% |
Happy | 0.2% |
Surprised | 0.2% |
Angry | 0.1% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 100% |
Sad | 91.2% |
Calm | 7.4% |
Confused | 0.8% |
Angry | 0.2% |
Disgusted | 0.2% |
Fear | 0.1% |
Happy | 0% |
Surprised | 0% |

Microsoft Cognitive Services
Age | 26 |
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
paintings art | 73.9% | |
events parties | 7.5% | |
people portraits | 7.2% | |
pets animals | 5.1% | |
food drinks | 4.3% | |
nature landscape | 1.2% | |
Captions
Microsoft
created on 2022-02-26
a man and a woman looking at the camera | 71% | |
a group of people looking at each other | 70.9% | |
a man and woman looking at the camera | 65.6% | |