Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 42-50 |
| Gender | Female, 96.2% |
| Happy | 72.9% |
| Calm | 12.2% |
| Surprised | 11% |
| Disgusted | 1.2% |
| Confused | 1.2% |
| Sad | 0.8% |
| Angry | 0.5% |
| Fear | 0.2% |
AWS Rekognition
| Age | 35-43 |
| Gender | Female, 70.7% |
| Calm | 49.6% |
| Sad | 20.6% |
| Confused | 16.2% |
| Happy | 3.3% |
| Angry | 3.2% |
| Fear | 2.8% |
| Surprised | 2.5% |
| Disgusted | 1.9% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Likely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 99.5% | |
Captions
Microsoft
| a man and a woman standing in front of a mirror | 78.1% | |
| a group of people standing in a room | 78% | |
| a group of people standing in front of a mirror posing for the camera | 77.9% | |
Text analysis
Amazon
