Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 6-14 |
| Gender | Female, 96.8% |
| Happy | 88.6% |
| Confused | 5.3% |
| Disgusted | 3.5% |
| Angry | 0.7% |
| Sad | 0.6% |
| Surprised | 0.5% |
| Calm | 0.5% |
| Fear | 0.3% |
AWS Rekognition
| Age | 0-3 |
| Gender | Female, 61.8% |
| Surprised | 96.1% |
| Confused | 1.9% |
| Fear | 0.8% |
| Calm | 0.5% |
| Disgusted | 0.3% |
| Angry | 0.2% |
| Happy | 0.1% |
| Sad | 0.1% |
Microsoft Cognitive Services
| Age | 22 |
| 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 likely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 98% | |
Captions
Microsoft
| a vintage photo of a person | 85.7% | |
| a vintage photo of a person sitting in front of a window | 69.8% | |
| a vintage photo of an old woman sitting in front of a window | 69.7% | |