Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 21-33 |
| Gender | Female, 50.2% |
| Sad | 50.1% |
| Surprised | 49.5% |
| Calm | 49.6% |
| Happy | 49.5% |
| Angry | 49.6% |
| Fear | 49.6% |
| Disgusted | 49.5% |
| Confused | 49.5% |
AWS Rekognition
| Age | 46-64 |
| Gender | Female, 50.2% |
| Calm | 50.1% |
| Sad | 49.8% |
| Confused | 49.5% |
| Disgusted | 49.5% |
| Angry | 49.5% |
| Fear | 49.5% |
| Happy | 49.5% |
| Surprised | 49.5% |
AWS Rekognition
| Age | 6-16 |
| Gender | Female, 50.1% |
| Angry | 49.5% |
| Fear | 49.5% |
| Sad | 50.4% |
| Surprised | 49.5% |
| Calm | 49.5% |
| Disgusted | 49.5% |
| Confused | 49.5% |
| Happy | 49.5% |
AWS Rekognition
| Age | 22-34 |
| Gender | Male, 50.1% |
| Happy | 49.8% |
| Disgusted | 49.5% |
| Fear | 49.5% |
| Calm | 49.9% |
| Angry | 49.6% |
| Sad | 49.6% |
| Confused | 49.5% |
| Surprised | 49.5% |
Feature analysis
Captions
Microsoft
| a vintage photo of an old building | 76.4% | |
| a vintage photo of a building | 72.9% | |
| a vintage photo of a person | 71.4% | |
Text analysis
