Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 9-19 |
| Gender | Female, 51% |
| Angry | 45.4% |
| Disgusted | 45.1% |
| Calm | 50.3% |
| Happy | 48.5% |
| Fear | 45.1% |
| Confused | 45.1% |
| Sad | 45.1% |
| Surprised | 45.4% |
AWS Rekognition
| Age | 36-54 |
| Gender | Female, 50.2% |
| Disgusted | 45% |
| Fear | 45% |
| Angry | 45.1% |
| Sad | 45.1% |
| Happy | 45.3% |
| Surprised | 45.1% |
| Confused | 45% |
| Calm | 54.5% |
AWS Rekognition
| Age | 17-29 |
| Gender | Female, 54.6% |
| Fear | 45% |
| Happy | 45.1% |
| Surprised | 45% |
| Calm | 54.7% |
| Confused | 45% |
| Disgusted | 45% |
| Sad | 45.1% |
| Angry | 45% |
AWS Rekognition
| Age | 27-43 |
| Gender | Male, 54.7% |
| Disgusted | 45.1% |
| Angry | 45.2% |
| Fear | 45.1% |
| Calm | 53.9% |
| Happy | 45% |
| Sad | 45.3% |
| Surprised | 45.4% |
| Confused | 45.1% |
Feature analysis
Captions
Microsoft
| a vintage photo of a person | 78.5% | |
| a vintage photo of a person | 78.4% | |
| a vintage photo of a group of people posing for the camera | 59.3% | |
Text analysis
Amazon
