Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 29-45 |
| Gender | Male, 53.6% |
| Confused | 45.3% |
| Angry | 45.3% |
| Surprised | 45.1% |
| Happy | 45.2% |
| Calm | 45.7% |
| Disgusted | 45.2% |
| Sad | 53.1% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 53% |
| Surprised | 45.2% |
| Happy | 45.1% |
| Calm | 47.9% |
| Sad | 51.3% |
| Angry | 45.2% |
| Disgusted | 45.1% |
| Confused | 45.3% |
AWS Rekognition
| Age | 20-38 |
| Gender | Male, 52.9% |
| Confused | 45.2% |
| Happy | 45.6% |
| Sad | 47.9% |
| Surprised | 45.2% |
| Angry | 45.3% |
| Disgusted | 45.1% |
| Calm | 50.8% |
Feature analysis
Categories
Imagga
| cars vehicles | 54% | |
| nature landscape | 20.4% | |
| paintings art | 12.3% | |
| streetview architecture | 11.2% | |
Captions
Microsoft
created on 2019-03-25
| a vintage photo of a person | 85.9% | |
| an old black and white photo of a person | 82.1% | |
| a black and white photo of a person | 81.2% | |
Text analysis
Amazon
