Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 22-34 |
| Gender | Male, 91.8% |
| Calm | 0.9% |
| Angry | 1.6% |
| Confused | 0.5% |
| Sad | 0.4% |
| Happy | 94.7% |
| Disgusted | 0.7% |
| Fear | 0.3% |
| Surprised | 1% |
AWS Rekognition
| Age | 13-23 |
| Gender | Female, 51.7% |
| Calm | 53.2% |
| Happy | 45.9% |
| Fear | 45% |
| Sad | 45.1% |
| Disgusted | 45.4% |
| Confused | 45.1% |
| Angry | 45.1% |
| Surprised | 45.2% |
Microsoft Cognitive Services
| Age | 25 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 27 |
| 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 | Possible |
| Headwear | Very likely |
| Blurred | Very unlikely |
Feature analysis
Text analysis
Amazon
