Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 23-33 |
| Gender | Female, 99.6% |
| Sad | 81.8% |
| Calm | 8% |
| Fear | 7.4% |
| Angry | 2.1% |
| Surprised | 0.3% |
| Disgusted | 0.2% |
| Confused | 0.1% |
| Happy | 0.1% |
AWS Rekognition
| Age | 41-49 |
| Gender | Female, 90.1% |
| Calm | 96.2% |
| Angry | 1.3% |
| Sad | 0.9% |
| Confused | 0.7% |
| Disgusted | 0.3% |
| Happy | 0.2% |
| Surprised | 0.2% |
| Fear | 0.2% |
Microsoft Cognitive Services
| Age | 21 |
| Gender | Female |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Captions
Microsoft
| Joanna Lumley et al. standing in front of a mirror posing for the camera | 55.8% | |
| Joanna Lumley standing in front of a mirror posing for the camera | 53.5% | |
| Joanna Lumley standing in front of a mirror posing for the camera | 53.4% | |
Text analysis
Amazon
