Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 60-76 |
| Gender | Female, 60.3% |
| Calm | 55.6% |
| Surprised | 27.9% |
| Fear | 6.1% |
| Angry | 5.8% |
| Sad | 1.7% |
| Confused | 1.5% |
| Happy | 0.8% |
| Disgusted | 0.6% |
AWS Rekognition
| Age | 32-48 |
| Gender | Female, 67.7% |
| Calm | 53% |
| Surprised | 32.9% |
| Fear | 10.2% |
| Sad | 1.5% |
| Angry | 1.2% |
| Happy | 0.5% |
| Confused | 0.4% |
| Disgusted | 0.2% |
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
Amazon
| Person | 99% | |
Captions
Microsoft
| a person standing in front of a mirror posing for the camera | 91.9% | |
| a man and woman standing in front of a mirror posing for the camera | 66.5% | |
| a person wearing a dress and standing in front of a window | 66.4% | |
Text analysis
Amazon
