Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 47-53 |
Gender | Male, 98.7% |
Sad | 74.1% |
Calm | 12.8% |
Happy | 9.6% |
Angry | 0.9% |
Surprised | 0.9% |
Confused | 0.7% |
Fear | 0.6% |
Disgusted | 0.5% |

AWS Rekognition
Age | 51-59 |
Gender | Male, 81.2% |
Happy | 99.5% |
Calm | 0.4% |
Confused | 0% |
Sad | 0% |
Surprised | 0% |
Disgusted | 0% |
Angry | 0% |
Fear | 0% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | 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
Categories
Imagga
interior objects | 96.5% | |
food drinks | 2.9% | |
Captions
Microsoft
created on 2022-01-28
a person sitting in front of a mirror posing for the camera | 53.4% | |
a person standing in front of a mirror posing for the camera | 53.3% | |
an old photo of a man and a woman sitting on a table | 53.2% | |