Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 13-23 |
| Gender | Female, 98% |
| Calm | 98.5% |
| Sad | 1.1% |
| Fear | 0.1% |
| Surprised | 0.1% |
| Angry | 0.1% |
| Confused | 0.1% |
| Happy | 0% |
| Disgusted | 0% |
AWS Rekognition
| Age | 15-27 |
| Gender | Female, 80.8% |
| Calm | 79.1% |
| Happy | 18.9% |
| Sad | 0.6% |
| Disgusted | 0.4% |
| Surprised | 0.3% |
| Confused | 0.3% |
| Angry | 0.3% |
| Fear | 0.1% |
Microsoft Cognitive Services
| Age | 21 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 19 |
| 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 | Likely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 99% | |
Captions
Microsoft
| a group of people posing for the camera | 89.8% | |
| a group of people posing for a picture | 89.2% | |
| a group of people posing for a photo | 84% | |
Text analysis
