Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 37-45 |
Gender | Female, 84.3% |
Calm | 97.1% |
Happy | 2% |
Surprised | 0.5% |
Confused | 0.1% |
Disgusted | 0.1% |
Angry | 0.1% |
Sad | 0.1% |
Fear | 0% |

AWS Rekognition
Age | 29-39 |
Gender | Male, 96.5% |
Calm | 69.1% |
Happy | 20% |
Surprised | 8.2% |
Fear | 0.9% |
Disgusted | 0.5% |
Confused | 0.5% |
Sad | 0.5% |
Angry | 0.3% |

AWS Rekognition
Age | 23-33 |
Gender | Female, 76% |
Calm | 93.1% |
Happy | 6% |
Sad | 0.3% |
Confused | 0.2% |
Surprised | 0.1% |
Disgusted | 0.1% |
Angry | 0% |
Fear | 0% |
Feature analysis
Categories
Imagga
paintings art | 59.8% | |
text visuals | 16.9% | |
interior objects | 7.9% | |
cars vehicles | 4.2% | |
nature landscape | 3.6% | |
food drinks | 3.1% | |
beaches seaside | 1.5% | |
streetview architecture | 1.1% | |
Captions
Microsoft
created on 2022-03-05
a vintage photo of a group of people posing for the camera | 83.6% | |
a vintage photo of a group of people posing for a picture | 83.5% | |
a group of people posing for a photo | 83.4% | |