Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 2-10 |
| Gender | Female, 99.9% |
| Calm | 98.6% |
| Sad | 0.6% |
| Angry | 0.3% |
| Fear | 0.2% |
| Confused | 0.1% |
| Disgusted | 0.1% |
| Happy | 0.1% |
| Surprised | 0% |
AWS Rekognition
| Age | 25-35 |
| Gender | Female, 99.7% |
| Calm | 87.8% |
| Confused | 3.3% |
| Sad | 2.9% |
| Angry | 1.7% |
| Happy | 1.5% |
| Fear | 1.1% |
| Disgusted | 1% |
| Surprised | 0.7% |
Microsoft Cognitive Services
| Age | 32 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 4 |
| 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 | Unlikely |
| Headwear | Unlikely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 99.6% | |
Captions
Microsoft
| a person standing in front of a mirror posing for the camera | 87.8% | |
| a person standing in front of a mirror posing for the camera | 77.6% | |
| a man and woman standing in front of a mirror posing for the camera | 60.4% | |
Text analysis
Amazon
