Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 26-44 |
| Gender | Male, 50.5% |
| Angry | 49.6% |
| Sad | 49.5% |
| Happy | 49.5% |
| Confused | 49.6% |
| Surprised | 49.5% |
| Calm | 50.3% |
| Disgusted | 49.5% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 50.4% |
| Calm | 50% |
| Sad | 49.5% |
| Confused | 49.5% |
| Disgusted | 49.5% |
| Happy | 49.9% |
| Surprised | 49.5% |
| Angry | 49.5% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 50.2% |
| Happy | 49.8% |
| Confused | 49.6% |
| Calm | 49.7% |
| Sad | 49.6% |
| Surprised | 49.6% |
| Angry | 49.6% |
| Disgusted | 49.6% |
AWS Rekognition
| Age | 26-44 |
| Gender | Male, 54.9% |
| Angry | 45.4% |
| Calm | 46.1% |
| Confused | 45.5% |
| Disgusted | 45.1% |
| Happy | 48.3% |
| Sad | 49.4% |
| Surprised | 45.2% |
Feature analysis
Amazon
| Person | 80.7% | |
Categories
Imagga
| paintings art | 97.3% | |
| text visuals | 1.5% | |
| streetview architecture | 0.5% | |
| interior objects | 0.4% | |
| nature landscape | 0.2% | |
| food drinks | 0.1% | |
| cars vehicles | 0.1% | |
Captions
Microsoft
created on 2018-04-19
| a close up of a book | 70.3% | |
| close up of a book | 65.2% | |
| a close up of text on a book | 59% | |
Text analysis
Amazon
