Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 2-8 |
Gender | Male, 50.8% |
Calm | 56.4% |
Sad | 18.8% |
Fear | 13.9% |
Angry | 6.3% |
Disgusted | 1.7% |
Surprised | 1.6% |
Happy | 0.8% |
Confused | 0.4% |

AWS Rekognition
Age | 2-8 |
Gender | Female, 99.8% |
Fear | 64.2% |
Sad | 17.7% |
Surprised | 6.5% |
Calm | 4.3% |
Happy | 3.5% |
Disgusted | 1.4% |
Angry | 1.4% |
Confused | 1% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 96.4% |
Disgusted | 50.8% |
Happy | 18.5% |
Calm | 9.2% |
Sad | 7.9% |
Fear | 4.2% |
Surprised | 4.1% |
Angry | 3.5% |
Confused | 1.8% |
Feature analysis
Categories
Imagga
paintings art | 38% | |
interior objects | 22.7% | |
nature landscape | 12% | |
food drinks | 12% | |
pets animals | 6.4% | |
cars vehicles | 4% | |
beaches seaside | 3.4% | |
Captions
Microsoft
created on 2022-01-08
a person doing a trick on a skateboard | 26.9% | |
a person riding a skateboard up the side of a ramp | 26.8% | |
a person riding a skateboard up the side of the road | 26.7% | |