Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 99.4% |
| Angry | 1.7% |
| Confused | 4.6% |
| Disgusted | 1.2% |
| Surprised | 1.7% |
| Sad | 83.9% |
| Calm | 6.5% |
| Happy | 0.4% |
AWS Rekognition
| Age | 1-5 |
| Gender | Female, 88.7% |
| Disgusted | 2.5% |
| Sad | 43.4% |
| Calm | 33.1% |
| Surprised | 3.9% |
| Happy | 7.9% |
| Confused | 4.2% |
| Angry | 4.9% |
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 man and a woman sitting on a chair | 51.9% | |
| a man and a woman sitting on top of a wooden door | 47.3% | |
| a man and a woman sitting at a wooden door | 47.2% | |