Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 20-28 |
| Gender | Female, 100% |
| Calm | 90% |
| Surprised | 4.3% |
| Sad | 2.4% |
| Angry | 1.1% |
| Fear | 1% |
| Confused | 0.7% |
| Happy | 0.3% |
| Disgusted | 0.3% |
AWS Rekognition
| Age | 1-7 |
| Gender | Female, 99.8% |
| Calm | 36.5% |
| Sad | 27.5% |
| Surprised | 20.8% |
| Confused | 5.4% |
| Fear | 4.5% |
| Happy | 2.6% |
| Disgusted | 1.4% |
| Angry | 1.3% |
Microsoft Cognitive Services
| Age | 25 |
| Gender | Female |
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 | Unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Captions
Microsoft
| a person sitting in front of a mirror posing for the camera | 43% | |
| a person sitting in front of a mirror | 42.9% | |
| a person sitting in a room | 42.8% | |
Text analysis
Amazon
