Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 15-25 |
| Gender | Male, 53.6% |
| Confused | 45.8% |
| Angry | 45.4% |
| Sad | 46.5% |
| Calm | 47.9% |
| Happy | 48.6% |
| Disgusted | 45.2% |
| Surprised | 45.7% |
AWS Rekognition
| Age | 23-38 |
| Gender | Female, 50.8% |
| Happy | 45.2% |
| Calm | 52.4% |
| Confused | 45.2% |
| Sad | 45.4% |
| Angry | 45.5% |
| Surprised | 45.3% |
| Disgusted | 46.1% |
AWS Rekognition
| Age | 35-52 |
| Gender | Female, 53.8% |
| Confused | 45.5% |
| Angry | 45.3% |
| Surprised | 45.6% |
| Happy | 45.4% |
| Calm | 51% |
| Disgusted | 45.5% |
| Sad | 46.8% |
Captions
Microsoft
| a close up of a knife | 63.9% | |
| close up of a knife | 59.4% | |
| a knife next to it | 51% | |
Text analysis
Amazon
