Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 22-30 |
Gender | Female, 99.9% |
Happy | 87.9% |
Surprised | 8.6% |
Fear | 6.3% |
Calm | 4% |
Sad | 2.3% |
Angry | 0.8% |
Confused | 0.8% |
Disgusted | 0.7% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 90.5% |
Calm | 99.6% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Happy | 0.1% |
Disgusted | 0.1% |
Angry | 0% |
Confused | 0% |

AWS Rekognition
Age | 48-54 |
Gender | Male, 78.8% |
Calm | 98.2% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.4% |
Happy | 0.4% |
Angry | 0.1% |
Confused | 0.1% |
Disgusted | 0.1% |
Feature analysis
Categories
Imagga
interior objects | 79.4% | |
paintings art | 10.6% | |
food drinks | 4.4% | |
events parties | 3% | |
text visuals | 1.2% | |
people portraits | 1.1% | |
Captions
Microsoft
created on 2019-02-01
a group of people standing in front of a window | 77.6% | |
a group of people standing in front of a mirror posing for the camera | 54% | |
a person standing in front of a mirror posing for the camera | 49.8% | |