Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 23-33 |
| Gender | Female, 62.1% |
| Calm | 85.4% |
| Angry | 6.9% |
| Disgusted | 4.2% |
| Sad | 1% |
| Confused | 0.9% |
| Happy | 0.8% |
| Surprised | 0.6% |
| Fear | 0.2% |
AWS Rekognition
| Age | 24-34 |
| Gender | Male, 83.8% |
| Calm | 98% |
| Fear | 0.8% |
| Happy | 0.6% |
| Disgusted | 0.2% |
| Angry | 0.1% |
| Sad | 0.1% |
| Confused | 0.1% |
| Surprised | 0.1% |
AWS Rekognition
| Age | 28-38 |
| Gender | Male, 90% |
| Calm | 93.5% |
| Confused | 1.9% |
| Fear | 1.3% |
| Sad | 1.2% |
| Surprised | 1% |
| Angry | 0.5% |
| Happy | 0.4% |
| Disgusted | 0.3% |
AWS Rekognition
| Age | 16-24 |
| Gender | Female, 98.5% |
| Calm | 97.9% |
| Sad | 0.7% |
| Fear | 0.5% |
| Disgusted | 0.4% |
| Confused | 0.2% |
| Surprised | 0.1% |
| Angry | 0.1% |
| Happy | 0.1% |
Feature analysis
Captions
Microsoft
| a vintage photo of a person | 83.3% | |
| a vintage photo of a person holding a book | 53.2% | |
| a vintage photo of a group of people looking at a book | 52.5% | |
Text analysis
Amazon
