Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 26-42 |
| Gender | Female, 50.2% |
| Angry | 50.1% |
| Sad | 49.5% |
| Confused | 49.5% |
| Fear | 49.5% |
| Disgusted | 49.8% |
| Calm | 49.5% |
| Happy | 49.5% |
| Surprised | 49.5% |
AWS Rekognition
| Age | 0-3 |
| Gender | Male, 50.5% |
| Surprised | 49.8% |
| Angry | 49.6% |
| Sad | 49.6% |
| Happy | 49.6% |
| Disgusted | 49.5% |
| Confused | 49.8% |
| Calm | 49.6% |
| Fear | 49.6% |
AWS Rekognition
| Age | 19-31 |
| Gender | Female, 50.1% |
| Disgusted | 49.6% |
| Surprised | 49.5% |
| Calm | 49.5% |
| Angry | 49.7% |
| Happy | 49.5% |
| Confused | 49.5% |
| Sad | 49.9% |
| Fear | 49.8% |
Feature analysis
Categories
Imagga
| nature landscape | 84.8% | |
| paintings art | 8% | |
| text visuals | 4.7% | |
| beaches seaside | 1.4% | |
Captions
Microsoft
created on 2020-05-02
| a vintage photo of a man | 82% | |
| a black and white photo of a man | 77.1% | |
| a vintage photo of some people | 77% | |
Text analysis
Amazon
