Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 18-26 |
| Gender | Female, 100% |
| Happy | 86.5% |
| Sad | 6.7% |
| Fear | 2.8% |
| Surprised | 1.5% |
| Calm | 1.4% |
| Disgusted | 0.5% |
| Confused | 0.4% |
| Angry | 0.3% |
AWS Rekognition
| Age | 0-6 |
| Gender | Female, 96.3% |
| Calm | 94.5% |
| Surprised | 2.4% |
| Happy | 1.3% |
| Sad | 0.6% |
| Fear | 0.4% |
| Disgusted | 0.3% |
| Angry | 0.3% |
| Confused | 0.1% |
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 | Likely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 99.2% | |
Captions
Microsoft
| a man talking on a cell phone | 53.4% | |
| a man sitting in a chair talking on a cell phone | 50.2% | |
| a man and a woman sitting in a chair talking on a cell phone | 32.5% | |