Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 1-5 |
| Gender | Female, 54% |
| Calm | 45% |
| Disgusted | 45% |
| Angry | 45% |
| Surprised | 45% |
| Confused | 45% |
| Sad | 54.9% |
| Happy | 45% |
AWS Rekognition
| Age | 1-5 |
| Gender | Female, 51.7% |
| Disgusted | 45.2% |
| Calm | 47.7% |
| Confused | 45.8% |
| Surprised | 45.5% |
| Sad | 49.7% |
| Happy | 45.3% |
| Angry | 45.8% |
AWS Rekognition
| Age | 6-13 |
| Gender | Female, 52.4% |
| Surprised | 45.6% |
| Confused | 45.6% |
| Disgusted | 45.3% |
| Calm | 48.3% |
| Angry | 45.7% |
| Sad | 48.3% |
| Happy | 46.2% |
AWS Rekognition
| Age | 14-25 |
| Gender | Male, 53.6% |
| Sad | 47.8% |
| Surprised | 45.2% |
| Disgusted | 45.1% |
| Confused | 45.2% |
| Calm | 47.4% |
| Happy | 45.1% |
| Angry | 49.2% |
Feature analysis
Captions
Microsoft
| a bathroom with a sink and a mirror in a room | 17.3% | |
| a bathroom with a sink and a mirror | 17.2% | |
| a bathroom with a sink and mirror in a room | 16.3% | |