Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 27-44 |
| Gender | Female, 50.2% |
| Disgusted | 49.5% |
| Confused | 49.5% |
| Surprised | 49.5% |
| Calm | 49.5% |
| Happy | 49.5% |
| Angry | 49.5% |
| Sad | 50.5% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 50.4% |
| Calm | 50% |
| Surprised | 49.5% |
| Happy | 49.5% |
| Disgusted | 49.5% |
| Angry | 49.5% |
| Sad | 49.8% |
| Confused | 49.6% |
AWS Rekognition
| Age | 27-44 |
| Gender | Female, 50.4% |
| Angry | 49.6% |
| Confused | 49.5% |
| Calm | 49.5% |
| Surprised | 49.5% |
| Sad | 50.3% |
| Happy | 49.5% |
| Disgusted | 49.6% |
Feature analysis
Categories
Imagga
| streetview architecture | 66.1% | |
| beaches seaside | 9.3% | |
| nature landscape | 8% | |
| text visuals | 7.7% | |
| paintings art | 3% | |
| cars vehicles | 2.8% | |
| sunrises sunsets | 2.1% | |
Captions
Microsoft
created on 2019-06-05
| a vintage photo of a person | 66.9% | |
| a vintage photo of a living room | 66.8% | |
| a vintage photo of a television | 58.8% | |
Text analysis
Amazon
