Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 49-57 |
| Gender | Female, 98.2% |
| Happy | 98.2% |
| Calm | 0.7% |
| Surprised | 0.5% |
| Sad | 0.2% |
| Confused | 0.1% |
| Disgusted | 0.1% |
| Fear | 0.1% |
| Angry | 0.1% |
AWS Rekognition
| Age | 54-62 |
| Gender | Male, 99.8% |
| Happy | 31.5% |
| Surprised | 23.5% |
| Calm | 21.4% |
| Confused | 9.1% |
| Sad | 7.7% |
| Disgusted | 3.9% |
| Angry | 1.8% |
| Fear | 1.2% |
AWS Rekognition
| Age | 45-53 |
| Gender | Male, 90.3% |
| Calm | 50% |
| Happy | 15.7% |
| Sad | 12.5% |
| Surprised | 8.9% |
| Confused | 5.4% |
| Fear | 3.3% |
| Disgusted | 2.7% |
| Angry | 1.5% |
Feature analysis
Amazon
| Person | 98.1% | |
Categories
Imagga
| people portraits | 84% | |
| streetview architecture | 7.3% | |
| events parties | 3.8% | |
| paintings art | 3.7% | |
Captions
Microsoft
created on 2022-01-08
| a person standing in front of a mirror posing for the camera | 81.7% | |
| a man and woman posing for a photo | 73.8% | |
| a person standing in front of a mirror posing for the camera | 66.8% | |
Text analysis
Amazon
