Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 7-17 |
| Gender | Female, 98.2% |
| Calm | 95% |
| Surprised | 3.3% |
| Happy | 1% |
| Fear | 0.3% |
| Disgusted | 0.2% |
| Sad | 0.1% |
| Confused | 0.1% |
| Angry | 0.1% |
AWS Rekognition
| Age | 18-24 |
| Gender | Male, 81.9% |
| Calm | 67.9% |
| Surprised | 15.3% |
| Happy | 12% |
| Fear | 2.1% |
| Sad | 1.1% |
| Disgusted | 0.6% |
| Angry | 0.5% |
| Confused | 0.5% |
AWS Rekognition
| Age | 27-37 |
| Gender | Male, 99% |
| Sad | 99.1% |
| Calm | 0.6% |
| Happy | 0.1% |
| Surprised | 0.1% |
| Confused | 0.1% |
| Disgusted | 0% |
| Angry | 0% |
| Fear | 0% |
Feature analysis
Categories
Imagga
| interior objects | 95.8% | |
| food drinks | 2.9% | |
Captions
Microsoft
created on 2022-02-26
| a group of people sitting in front of a window | 81.9% | |
| a group of people in front of a window | 81.8% | |
| a group of people sitting at a table in front of a window | 77.2% | |
Text analysis
Amazon
