Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 30-47 |
| Gender | Male, 98.2% |
| Calm | 59.4% |
| Confused | 8.4% |
| Happy | 3.4% |
| Sad | 8.3% |
| Disgusted | 0.8% |
| Surprised | 1.9% |
| Angry | 17.8% |
AWS Rekognition
| Age | 4-7 |
| Gender | Female, 89.9% |
| Angry | 3.7% |
| Calm | 85.6% |
| Confused | 2% |
| Happy | 0.6% |
| Disgusted | 1.4% |
| Surprised | 1.9% |
| Sad | 4.8% |
Microsoft Cognitive Services
| Age | 48 |
| Gender | Male |
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
Amazon
| Person | 98.5% | |
Captions
Microsoft
| a man standing in front of a mirror posing for the camera | 77.2% | |
| a man that is standing in front of a mirror posing for the camera | 70.9% | |
| a man standing in front of a mirror posing for the camera | 70.8% | |
Text analysis
Amazon
