Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 12-22 |
| Gender | Male, 89.5% |
| Disgusted | 0.1% |
| Sad | 0.8% |
| Fear | 0% |
| Surprised | 0.1% |
| Confused | 0.1% |
| Calm | 98.5% |
| Angry | 0.2% |
| Happy | 0.2% |
AWS Rekognition
| Age | 19-31 |
| Gender | Female, 51.5% |
| Sad | 2.9% |
| Angry | 9.1% |
| Happy | 0.3% |
| Surprised | 0.5% |
| Calm | 84.8% |
| Confused | 1.1% |
| Fear | 0.2% |
| Disgusted | 1.1% |
Microsoft Cognitive Services
| Age | 27 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 16 |
| 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 | Very unlikely |
| Joy | Very unlikely |
| Headwear | Possible |
| Blurred | Very unlikely |
Feature analysis
Text analysis
