Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 23-33 |
| Gender | Female, 83.9% |
| Happy | 54.2% |
| Calm | 34.3% |
| Surprised | 8.1% |
| Sad | 1.5% |
| Fear | 0.6% |
| Disgusted | 0.5% |
| Confused | 0.4% |
| Angry | 0.3% |
AWS Rekognition
| Age | 36-44 |
| Gender | Male, 97.4% |
| Happy | 62.6% |
| Calm | 13.4% |
| Surprised | 11.4% |
| Confused | 6.9% |
| Sad | 3.7% |
| Disgusted | 1% |
| Fear | 0.6% |
| Angry | 0.5% |
AWS Rekognition
| Age | 7-17 |
| Gender | Female, 74.8% |
| Sad | 91.1% |
| Calm | 6.5% |
| Surprised | 1.2% |
| Fear | 0.4% |
| Disgusted | 0.3% |
| Confused | 0.2% |
| Angry | 0.2% |
| Happy | 0.1% |
AWS Rekognition
| Age | 28-38 |
| Gender | Female, 62.2% |
| Calm | 86.5% |
| Happy | 9% |
| Surprised | 1.7% |
| Sad | 1.3% |
| Disgusted | 0.6% |
| Fear | 0.4% |
| Confused | 0.3% |
| Angry | 0.2% |
Feature analysis
Captions
Microsoft
| a group of people standing in front of a window | 83.3% | |
| a group of people standing in front of a mirror | 80.3% | |
| a group of people standing in front of a mirror posing for the camera | 71.9% | |
Text analysis
Amazon
