Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 20-38 |
| Gender | Male, 99.7% |
| Calm | 21% |
| Surprised | 4.8% |
| Sad | 3.2% |
| Confused | 6.3% |
| Happy | 60.6% |
| Disgusted | 1.6% |
| Angry | 2.5% |
AWS Rekognition
| Age | 26-44 |
| Gender | Female, 84.2% |
| Sad | 10% |
| Surprised | 4.6% |
| Disgusted | 1.3% |
| Angry | 3.6% |
| Calm | 7.3% |
| Happy | 69.6% |
| Confused | 3.5% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 54.6% |
| Happy | 45.3% |
| Surprised | 45.6% |
| Confused | 46.2% |
| Disgusted | 45.3% |
| Calm | 46.4% |
| Angry | 45.3% |
| Sad | 50.8% |
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 52.7% |
| Confused | 45.2% |
| Angry | 45.5% |
| Happy | 45.2% |
| Disgusted | 45.1% |
| Calm | 52.8% |
| Sad | 46% |
| Surprised | 45.2% |
Feature analysis
Amazon
| Person | 97.9% | |
Captions
Microsoft
| a person standing in front of a mirror posing for the camera | 90.9% | |
| a group of people standing in front of a mirror posing for the camera | 90.4% | |
| a man and woman standing in front of a mirror posing for the camera | 83.3% | |
Text analysis
Amazon
