Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 27-37 |
| Gender | Male, 92.9% |
| Calm | 99.6% |
| Sad | 0.2% |
| Surprised | 0.1% |
| Confused | 0.1% |
| Happy | 0% |
| Disgusted | 0% |
| Angry | 0% |
| Fear | 0% |
AWS Rekognition
| Age | 20-28 |
| Gender | Female, 63.3% |
| Calm | 76.6% |
| Happy | 11.9% |
| Sad | 4.6% |
| Surprised | 3.1% |
| Fear | 1.8% |
| Disgusted | 0.7% |
| Confused | 0.6% |
| Angry | 0.6% |
AWS Rekognition
| Age | 26-36 |
| Gender | Female, 97.5% |
| Calm | 86% |
| Surprised | 7.8% |
| Angry | 1.6% |
| Sad | 1.4% |
| Disgusted | 1.4% |
| Fear | 1.1% |
| Happy | 0.5% |
| Confused | 0.3% |
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 unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 99.6% | |
Captions
Microsoft
| graphical user interface | 72.6% | |
Text analysis
Amazon
