Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 35-52 |
| Gender | Female, 54.5% |
| Angry | 45.5% |
| Sad | 46.2% |
| Happy | 45.7% |
| Confused | 45.6% |
| Surprised | 45.6% |
| Calm | 51.2% |
| Disgusted | 45.1% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 53.2% |
| Calm | 53.4% |
| Disgusted | 45.2% |
| Confused | 45.2% |
| Surprised | 45.3% |
| Happy | 45.4% |
| Sad | 45.4% |
| Angry | 45.2% |
AWS Rekognition
| Age | 35-53 |
| Gender | Female, 52.3% |
| Happy | 45.6% |
| Disgusted | 45.8% |
| Angry | 45.4% |
| Calm | 46% |
| Surprised | 45.3% |
| Confused | 45.2% |
| Sad | 51.7% |
AWS Rekognition
| Age | 48-68 |
| Gender | Female, 51.6% |
| Confused | 45.3% |
| Surprised | 45.4% |
| Sad | 45.9% |
| Angry | 45.6% |
| Happy | 46% |
| Calm | 51.6% |
| Disgusted | 45.3% |
Feature analysis
Amazon
| Person | 99% | |
Categories
Imagga
| interior objects | 90.4% | |
| people portraits | 3.1% | |
| food drinks | 2.2% | |
| streetview architecture | 1.3% | |
| events parties | 1% | |
Captions
Microsoft
created on 2019-06-01
| a group of people standing in front of a mirror posing for the camera | 76.4% | |
| a person standing in front of a mirror posing for the camera | 68.1% | |
| a group of people standing in front of a mirror | 68% | |