Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 23-35 |
| Gender | Female, 53.2% |
| Calm | 53.6% |
| Sad | 12.1% |
| Happy | 11.8% |
| Surprised | 9.5% |
| Fear | 5.6% |
| Confused | 3.7% |
| Angry | 2.8% |
| Disgusted | 0.9% |
AWS Rekognition
| Age | 49-67 |
| Gender | Male, 98.4% |
| Calm | 98.8% |
| Sad | 0.6% |
| Happy | 0.3% |
| Surprised | 0.1% |
| Confused | 0.1% |
| Angry | 0.1% |
| Disgusted | 0% |
| Fear | 0% |
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
| a person standing in front of a window | 74.4% | |
| a man and a woman standing in front of a window | 48.4% | |
| a person standing in front of a mirror | 48.3% | |