Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 4-9 |
| Gender | Female, 54.9% |
| Disgusted | 45.1% |
| Sad | 50.5% |
| Confused | 45.2% |
| Angry | 45.2% |
| Surprised | 45.1% |
| Calm | 47.6% |
| Happy | 46.3% |
AWS Rekognition
| Age | 23-38 |
| Gender | Female, 54.9% |
| Sad | 46.1% |
| Confused | 45.4% |
| Happy | 51.2% |
| Calm | 45.7% |
| Angry | 46.2% |
| Surprised | 45.2% |
| Disgusted | 45.3% |
AWS Rekognition
| Age | 45-63 |
| Gender | Male, 54.7% |
| Angry | 45.1% |
| Disgusted | 45.2% |
| Surprised | 45.2% |
| Confused | 45.2% |
| Calm | 53.7% |
| Sad | 45.2% |
| Happy | 45.3% |
Feature analysis
Categories
Imagga
| text visuals | 66.8% | |
| paintings art | 23.4% | |
| food drinks | 6.7% | |
| interior objects | 2.3% | |
Captions
Microsoft
created on 2019-07-07
| a person taking a selfie in a mirror | 31.7% | |
| a person taking a selfie in front of a mirror posing for the camera | 31.6% | |
| a person posing for a photo in front of a mirror | 31.5% | |
Text analysis
Amazon
