Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 50.8% |
| Sad | 47.2% |
| Angry | 46.6% |
| Disgusted | 45.5% |
| Surprised | 49% |
| Calm | 45.8% |
| Confused | 45.5% |
| Happy | 45.4% |
AWS Rekognition
| Age | 23-38 |
| Gender | Female, 51.3% |
| Sad | 45.2% |
| Angry | 45.1% |
| Calm | 45.7% |
| Confused | 45.2% |
| Disgusted | 45.1% |
| Happy | 45.1% |
| Surprised | 53.5% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 54.9% |
| Calm | 48% |
| Sad | 45.6% |
| Disgusted | 46% |
| Angry | 45.8% |
| Surprised | 46.9% |
| Confused | 46.8% |
| Happy | 45.8% |
Feature analysis
Categories
Imagga
| paintings art | 84.9% | |
| food drinks | 4.1% | |
| nature landscape | 3.3% | |
| beaches seaside | 2% | |
| people portraits | 1.6% | |
| pets animals | 1.1% | |
Captions
Microsoft
created on 2019-07-24
| a group of people looking at a book | 32.2% | |
| a group of people standing next to a book | 32.1% | |
| a group of people wearing costumes | 32% | |
Text analysis
Amazon
