Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 9-14 |
| Gender | Male, 50.7% |
| Confused | 45.1% |
| Surprised | 45.3% |
| Angry | 45.2% |
| Calm | 53.7% |
| Happy | 45.2% |
| Disgusted | 45.1% |
| Sad | 45.4% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 55% |
| Angry | 45.4% |
| Happy | 45.3% |
| Surprised | 46.7% |
| Sad | 45.5% |
| Disgusted | 45.1% |
| Confused | 45.4% |
| Calm | 51.7% |
AWS Rekognition
| Age | 20-38 |
| Gender | Male, 52.3% |
| Confused | 45.4% |
| Calm | 47.9% |
| Disgusted | 45.4% |
| Angry | 49.1% |
| Happy | 45.2% |
| Sad | 46.2% |
| Surprised | 45.8% |
Feature analysis
Amazon
| Person | 80.7% | |
Categories
Imagga
| text visuals | 69.1% | |
| paintings art | 30.6% | |
| streetview architecture | 0.1% | |
| nature landscape | 0.1% | |
| food drinks | 0.1% | |
Captions
Microsoft
created on 2018-04-19
| a close up of a book | 65.8% | |
| close up of a book | 60.5% | |
| a close up of text on a book | 50.6% | |
Text analysis
Amazon
