Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 21-33 |
Gender | Male, 50.3% |
Fear | 49.6% |
Happy | 49.5% |
Surprised | 49.5% |
Calm | 49.6% |
Disgusted | 49.5% |
Sad | 50.2% |
Angry | 49.5% |
Confused | 49.5% |

AWS Rekognition
Age | 25-39 |
Gender | Male, 50.3% |
Angry | 49.6% |
Surprised | 49.5% |
Happy | 49.5% |
Disgusted | 49.5% |
Calm | 49.8% |
Confused | 49.5% |
Fear | 49.5% |
Sad | 50% |

AWS Rekognition
Age | 15-27 |
Gender | Male, 51.5% |
Surprised | 45.1% |
Confused | 45.2% |
Disgusted | 45.2% |
Calm | 45.3% |
Fear | 45.7% |
Sad | 51.9% |
Happy | 45.4% |
Angry | 46.3% |
Feature analysis
Categories
Imagga
nature landscape | 33.9% | |
pets animals | 17.5% | |
food drinks | 12.5% | |
interior objects | 11.2% | |
cars vehicles | 7.9% | |
paintings art | 5.7% | |
people portraits | 4.7% | |
events parties | 3.4% | |
beaches seaside | 1.6% | |
Captions
Microsoft
created on 2019-11-19
a black and white photo of a person | 59% | |
a group of people posing for a photo | 58.9% | |
a group of people posing for a picture | 58.8% | |