Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 54.2% |
| Sad | 45.6% |
| Surprised | 45.4% |
| Calm | 52.5% |
| Disgusted | 45.1% |
| Confused | 45.5% |
| Angry | 45.7% |
| Happy | 45.2% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 50.4% |
| Confused | 49.6% |
| Disgusted | 49.5% |
| Angry | 49.6% |
| Calm | 49.8% |
| Sad | 49.8% |
| Happy | 49.5% |
| Surprised | 49.6% |
AWS Rekognition
| Age | 29-45 |
| Gender | Male, 54.7% |
| Sad | 46.1% |
| Angry | 46.8% |
| Confused | 45.5% |
| Calm | 50.6% |
| Disgusted | 45.3% |
| Surprised | 45.5% |
| Happy | 45.1% |
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 51.6% |
| Sad | 52.9% |
| Angry | 45.4% |
| Calm | 46.2% |
| Surprised | 45.1% |
| Disgusted | 45% |
| Happy | 45.1% |
| Confused | 45.2% |
Feature analysis
Amazon
| Person | 98.1% | |
Categories
Imagga
| paintings art | 90.8% | |
| text visuals | 4.5% | |
| nature landscape | 4.3% | |
| food drinks | 0.2% | |
| streetview architecture | 0.2% | |
Captions
Microsoft
created on 2018-04-19
| a close up of a book | 59.8% | |
| close up of a book | 53.6% | |
| a close up of text on a book | 50.5% | |
Text analysis
Amazon
