Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 22-30 |
| Gender | Female, 99.9% |
| Happy | 87.9% |
| Surprised | 8.6% |
| Fear | 6.3% |
| Calm | 4% |
| Sad | 2.3% |
| Angry | 0.8% |
| Confused | 0.8% |
| Disgusted | 0.7% |
AWS Rekognition
| Age | 23-31 |
| Gender | Female, 90.5% |
| Calm | 99.6% |
| Surprised | 6.3% |
| Fear | 5.9% |
| Sad | 2.2% |
| Happy | 0.1% |
| Disgusted | 0.1% |
| Angry | 0% |
| Confused | 0% |
AWS Rekognition
| Age | 48-54 |
| Gender | Male, 78.8% |
| Calm | 98.2% |
| Surprised | 6.3% |
| Fear | 5.9% |
| Sad | 2.4% |
| Happy | 0.4% |
| Angry | 0.1% |
| Confused | 0.1% |
| Disgusted | 0.1% |
Feature analysis
Categories
Imagga
| interior objects | 79.4% | |
| paintings art | 10.6% | |
| food drinks | 4.4% | |
| events parties | 3% | |
| text visuals | 1.2% | |
| people portraits | 1.1% | |
Captions
Microsoft
created on 2019-02-01
| a group of people standing in front of a window | 77.6% | |
| a group of people standing in front of a mirror posing for the camera | 54% | |
| a person standing in front of a mirror posing for the camera | 49.8% | |
Text analysis
Amazon
