Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 24-38 |
| Gender | Female, 53.4% |
| Surprised | 45% |
| Happy | 45% |
| Confused | 45% |
| Calm | 45.6% |
| Disgusted | 45% |
| Sad | 45.2% |
| Fear | 45.1% |
| Angry | 54.1% |
AWS Rekognition
| Age | 14-26 |
| Gender | Male, 52.1% |
| Sad | 47.2% |
| Surprised | 45.1% |
| Confused | 45.1% |
| Fear | 45.1% |
| Happy | 45.1% |
| Angry | 45.2% |
| Calm | 52.3% |
| Disgusted | 45% |
AWS Rekognition
| Age | 21-33 |
| Gender | Male, 54.7% |
| Sad | 45% |
| Calm | 54.4% |
| Fear | 45% |
| Happy | 45.1% |
| Angry | 45% |
| Surprised | 45.5% |
| Disgusted | 45% |
| Confused | 45% |
Feature analysis
Amazon
| Person | 89.5% | |
Categories
Imagga
| text visuals | 26.5% | |
| interior objects | 22.2% | |
| people portraits | 15.1% | |
| paintings art | 13.2% | |
| events parties | 10.8% | |
| pets animals | 7.5% | |
| streetview architecture | 2.8% | |
| food drinks | 1.3% | |
Captions
Microsoft
created on 2020-05-02
| a screenshot of a computer | 30.1% | |
Text analysis
Amazon
