Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 52.5% |
| Angry | 45.6% |
| Disgusted | 45.5% |
| Surprised | 45.2% |
| Calm | 52.2% |
| Sad | 45.4% |
| Happy | 45.9% |
| Confused | 45.2% |
AWS Rekognition
| Age | 16-27 |
| Gender | Female, 53.9% |
| Angry | 45.5% |
| Happy | 48% |
| Calm | 46.5% |
| Confused | 45.2% |
| Sad | 48.9% |
| Disgusted | 45.6% |
| Surprised | 45.3% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 54.7% |
| Sad | 49.2% |
| Angry | 46% |
| Happy | 46.1% |
| Surprised | 45.7% |
| Confused | 45.9% |
| Calm | 46.1% |
| Disgusted | 46% |
Feature analysis
Categories
Imagga
| interior objects | 98.3% | |
| food drinks | 1.7% | |
Captions
Microsoft
created on 2019-06-05
| a person sitting on a bench in front of a building | 50.8% | |
| a person sitting on a bench | 50.5% | |
| a person sitting on a bench next to a building | 50.4% | |
Text analysis
Amazon
