Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 39-47 |
| Gender | Male, 100% |
| Happy | 41.2% |
| Angry | 16.9% |
| Sad | 16.4% |
| Calm | 10.4% |
| Disgusted | 7.6% |
| Confused | 5.2% |
| Surprised | 1.4% |
| Fear | 1% |
AWS Rekognition
| Age | 42-50 |
| Gender | Female, 88.2% |
| Calm | 75.5% |
| Happy | 9.9% |
| Surprised | 7.4% |
| Sad | 2.7% |
| Confused | 1.8% |
| Angry | 1.5% |
| Disgusted | 0.8% |
| Fear | 0.3% |
Feature analysis
Categories
Imagga
| food drinks | 36.3% | |
| interior objects | 28.1% | |
| streetview architecture | 11.2% | |
| paintings art | 10.4% | |
| pets animals | 6% | |
| text visuals | 4.1% | |
| nature landscape | 1.3% | |
Captions
Microsoft
created on 2022-01-23
| a group of people standing in front of a mirror posing for the camera | 41.2% | |
| a group of people in front of a mirror posing for the camera | 41.1% | |
| a group of people standing in front of a mirror | 41% | |
Text analysis
Amazon
