Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 60.4% |
| Angry | 3.1% |
| Surprised | 44.5% |
| Confused | 2% |
| Sad | 37.8% |
| Disgusted | 3.2% |
| Calm | 2.2% |
| Happy | 7.1% |
AWS Rekognition
| Age | 23-38 |
| Gender | Female, 77.6% |
| Surprised | 18.7% |
| Calm | 12.7% |
| Sad | 55% |
| Disgusted | 0.9% |
| Angry | 4% |
| Happy | 3.3% |
| Confused | 5.3% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 57% |
| Confused | 15% |
| Calm | 12.6% |
| Angry | 7.4% |
| Happy | 5.8% |
| Sad | 43.9% |
| Disgusted | 9.6% |
| Surprised | 5.7% |
Feature analysis
Amazon
| Person | 48.5% | |
Categories
Imagga
| paintings art | 99.2% | |
| streetview architecture | 0.4% | |
| text visuals | 0.4% | |
Captions
Microsoft
created on 2018-04-19
| a close up of a book | 55.8% | |
| close up of a book | 50.7% | |
| a close up of text on a book | 38.9% | |
Text analysis
Amazon
