Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 53.6% |
| Calm | 45.4% |
| Surprised | 45.2% |
| Disgusted | 45.2% |
| Happy | 49.6% |
| Sad | 49.2% |
| Confused | 45.1% |
| Angry | 45.3% |
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 50.7% |
| Happy | 45.3% |
| Disgusted | 45.7% |
| Angry | 45.8% |
| Calm | 47.4% |
| Surprised | 45.5% |
| Confused | 45.6% |
| Sad | 49.7% |
AWS Rekognition
| Age | 19-36 |
| Gender | Male, 53.3% |
| Happy | 45.4% |
| Confused | 45.3% |
| Angry | 45.5% |
| Disgusted | 47.1% |
| Surprised | 45.2% |
| Sad | 47.2% |
| Calm | 49.3% |
Feature analysis
Categories
Imagga
| paintings art | 97.6% | |
| food drinks | 1.5% | |
Captions
Microsoft
created on 2019-05-31
| a close up of text on a white background | 65.2% | |
| a close up of text on a white surface | 62.3% | |
| a close up of text on a black background | 57.8% | |
Text analysis
Amazon
