Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 27-44 |
| Gender | Female, 52.3% |
| Calm | 46.3% |
| Angry | 46.4% |
| Surprised | 45.4% |
| Sad | 47.4% |
| Confused | 45.3% |
| Happy | 49% |
| Disgusted | 45.2% |
AWS Rekognition
| Age | 19-36 |
| Gender | Female, 51.2% |
| Angry | 45.2% |
| Confused | 45.2% |
| Sad | 45.4% |
| Happy | 45% |
| Disgusted | 45% |
| Calm | 53.7% |
| Surprised | 45.5% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 53.9% |
| Calm | 49.3% |
| Angry | 45.5% |
| Confused | 45.3% |
| Sad | 49.6% |
| Disgusted | 45.1% |
| Surprised | 45.1% |
| Happy | 45.1% |
Feature analysis
Categories
Imagga
| text visuals | 78.8% | |
| paintings art | 20.5% | |
| food drinks | 0.4% | |
| interior objects | 0.2% | |
Captions
Microsoft
created on 2018-04-19
| a close up of a book | 72.5% | |
| close up of a book | 67.9% | |
| a close up of text on a book | 61.7% | |
Text analysis
Amazon
