Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 51% |
| Happy | 45.2% |
| Disgusted | 45.2% |
| Confused | 45.4% |
| Calm | 50.8% |
| Sad | 47.6% |
| Angry | 45.5% |
| Surprised | 45.4% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 94.7% |
| Confused | 4.6% |
| Calm | 66.3% |
| Angry | 4.7% |
| Sad | 7.5% |
| Surprised | 2.5% |
| Disgusted | 3.5% |
| Happy | 10.8% |
AWS Rekognition
| Age | 35-55 |
| Gender | Female, 65.9% |
| Confused | 8.4% |
| Sad | 19.4% |
| Angry | 13% |
| Calm | 49.2% |
| Happy | 2.8% |
| Surprised | 5.3% |
| Disgusted | 2% |
Feature analysis
Categories
Imagga
| streetview architecture | 95.1% | |
| paintings art | 2.2% | |
| beaches seaside | 2.1% | |
| nature landscape | 0.5% | |
| pets animals | 0.1% | |
Captions
Microsoft
created on 2018-03-16
| a vintage photo of a person | 79.6% | |
| a vintage photo of some people | 73.2% | |
| a vintage photo of a person | 73.1% | |
Text analysis
Amazon
