Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 89.6% |
| Happy | 16.6% |
| Disgusted | 0.9% |
| Angry | 3% |
| Confused | 1.5% |
| Sad | 20.4% |
| Surprised | 2.5% |
| Calm | 55.2% |
AWS Rekognition
| Age | 45-65 |
| Gender | Female, 84.4% |
| Angry | 7.3% |
| Disgusted | 2.8% |
| Sad | 15.4% |
| Happy | 18.6% |
| Confused | 11% |
| Calm | 39.8% |
| Surprised | 5.1% |
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 65.5% |
| Sad | 69.9% |
| Happy | 1.2% |
| Confused | 3.6% |
| Disgusted | 2.6% |
| Surprised | 1.4% |
| Angry | 2% |
| Calm | 19.5% |
Feature analysis
Amazon
| Painting | 98% | |
Categories
Imagga
| paintings art | 82.1% | |
| nature landscape | 11.6% | |
| streetview architecture | 3.6% | |
| text visuals | 0.9% | |
| beaches seaside | 0.7% | |
| interior objects | 0.5% | |
| food drinks | 0.2% | |
| macro flowers | 0.2% | |
| sunrises sunsets | 0.2% | |
| pets animals | 0.1% | |
Captions
Microsoft
created on 2018-06-07
| a close up of a book | 25.5% | |
Text analysis
Amazon
