Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 11-18 |
| Gender | Female, 99.8% |
| Angry | 4.3% |
| Confused | 3.1% |
| Calm | 77.5% |
| Sad | 7.4% |
| Disgusted | 2% |
| Happy | 3.7% |
| Surprised | 1.8% |
AWS Rekognition
| Age | 2-5 |
| Gender | Female, 94.6% |
| Happy | 3.6% |
| Angry | 1.9% |
| Confused | 2.4% |
| Sad | 6.2% |
| Disgusted | 1.4% |
| Surprised | 1.1% |
| Calm | 83.4% |
Microsoft Cognitive Services
| Age | 56 |
| Gender | Female |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Unlikely |
| Joy | Very unlikely |
| 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
Captions
Microsoft
| a person sitting next to a body of water | 66.8% | |
| a person sitting next to a body of water | 66.6% | |
| a person sitting next to a body of water | 56% | |