Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 95.4% |
| Disgusted | 1.4% |
| Calm | 72.8% |
| Surprised | 2.8% |
| Angry | 2.2% |
| Happy | 1.2% |
| Sad | 16% |
| Confused | 3.6% |
AWS Rekognition
| Age | 23-38 |
| Gender | Female, 90.8% |
| Happy | 88.4% |
| Surprised | 1.7% |
| Calm | 3% |
| Sad | 3.4% |
| Disgusted | 0.7% |
| Angry | 1.5% |
| Confused | 1.3% |
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 84.9% |
| Angry | 3.1% |
| Surprised | 2.8% |
| Calm | 78.3% |
| Sad | 4.3% |
| Confused | 2.5% |
| Disgusted | 5.2% |
| Happy | 3.8% |
Feature analysis
Amazon
| Person | 97.2% | |
Captions
Microsoft
| a vintage photo of a woman | 92.8% | |
| a woman standing in front of a mirror posing for the camera | 83.2% | |
| a vintage photo of a girl | 83.1% | |