Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 35-43 |
| Gender | Male, 100% |
| Happy | 93.1% |
| Fear | 1.9% |
| Sad | 1.7% |
| Angry | 1% |
| Surprised | 0.8% |
| Disgusted | 0.6% |
| Calm | 0.5% |
| Confused | 0.5% |
AWS Rekognition
| Age | 27-37 |
| Gender | Female, 100% |
| Calm | 92.6% |
| Confused | 3% |
| Fear | 1.9% |
| Sad | 0.6% |
| Angry | 0.5% |
| Surprised | 0.5% |
| Disgusted | 0.4% |
| Happy | 0.4% |
Microsoft Cognitive Services
| Age | 48 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 38 |
| Gender | Male |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very likely |
| 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 | 98.3% | |
Captions
Microsoft
| a man and a woman standing in front of a mirror | 81.9% | |
| a group of people standing in front of a mirror posing for the camera | 81.8% | |
| a group of people standing in front of a mirror | 81.7% | |