Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 30-46 |
| Gender | Male, 50.5% |
| Surprised | 49.5% |
| Sad | 49.5% |
| Happy | 49.5% |
| Calm | 50.4% |
| Angry | 49.5% |
| Fear | 49.5% |
| Confused | 49.5% |
| Disgusted | 49.5% |
AWS Rekognition
| Age | 50-68 |
| Gender | Male, 50.3% |
| Happy | 49.5% |
| Surprised | 49.5% |
| Sad | 50.4% |
| Calm | 49.5% |
| Fear | 49.5% |
| Angry | 49.5% |
| Disgusted | 49.5% |
| Confused | 49.5% |
AWS Rekognition
| Age | 45-63 |
| Gender | Female, 50.2% |
| Fear | 49.5% |
| Surprised | 49.6% |
| Disgusted | 49.5% |
| Calm | 49.5% |
| Sad | 49.6% |
| Angry | 49.5% |
| Happy | 49.6% |
| Confused | 50.2% |
Feature analysis
Categories
Imagga
| paintings art | 48.4% | |
| nature landscape | 16.6% | |
| cars vehicles | 12.1% | |
| beaches seaside | 11% | |
| text visuals | 4.7% | |
| streetview architecture | 4.3% | |
| food drinks | 1.8% | |
Captions
Microsoft
created on 2020-04-24
| a vintage photo of a group of people on a boat | 67.3% | |
| a vintage photo of a group of people in a boat | 67.2% | |
| a vintage photo of a boat | 67.1% | |