Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 12-22 |
| Gender | Female, 50.1% |
| Sad | 50.3% |
| Confused | 49.5% |
| Happy | 49.5% |
| Disgusted | 49.5% |
| Angry | 49.5% |
| Surprised | 49.5% |
| Calm | 49.6% |
AWS Rekognition
| Age | 38-59 |
| Gender | Female, 52.4% |
| Disgusted | 45.8% |
| Confused | 45.9% |
| Angry | 46.3% |
| Surprised | 45.9% |
| Calm | 45.9% |
| Happy | 45.5% |
| Sad | 49.7% |
AWS Rekognition
| Age | 19-36 |
| Gender | Male, 50.3% |
| Happy | 49.6% |
| Disgusted | 49.6% |
| Angry | 49.7% |
| Surprised | 49.5% |
| Sad | 50.1% |
| Calm | 49.5% |
| Confused | 49.5% |
Feature analysis
Categories
Imagga
| nature landscape | 55.6% | |
| paintings art | 24.1% | |
| beaches seaside | 18.5% | |
| sunrises sunsets | 0.6% | |
| pets animals | 0.5% | |
| streetview architecture | 0.4% | |
| cars vehicles | 0.1% | |
| food drinks | 0.1% | |
Captions
Microsoft
created on 2018-03-16
| a vintage photo of a group of people on a beach | 95.8% | |
| a vintage photo of a group of people at a beach | 95.6% | |
| a vintage photo of some people on a beach | 95.1% | |