Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 53.6% |
| Disgusted | 45.1% |
| Calm | 50.2% |
| Sad | 48.9% |
| Confused | 45.1% |
| Happy | 45.1% |
| Surprised | 45.3% |
| Angry | 45.3% |
AWS Rekognition
| Age | 19-36 |
| Gender | Female, 51.5% |
| Angry | 47% |
| Surprised | 48.6% |
| Confused | 45.4% |
| Happy | 47% |
| Disgusted | 45.2% |
| Calm | 45.7% |
| Sad | 46% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 51.9% |
| Sad | 49.4% |
| Disgusted | 45.9% |
| Happy | 45.7% |
| Calm | 45.8% |
| Confused | 45.3% |
| Angry | 47.5% |
| Surprised | 45.5% |
AWS Rekognition
| Age | 35-52 |
| Gender | Female, 51.2% |
| Surprised | 45.5% |
| Sad | 47% |
| Confused | 45.3% |
| Calm | 50.9% |
| Disgusted | 45.2% |
| Angry | 45.5% |
| Happy | 45.6% |
Feature analysis
Categories
Imagga
Captions
Microsoft
created on 2018-04-19
| a vintage photo of a person | 82.5% | |
| a vintage photo of a painting | 77.2% | |
| a vintage photo of an old building | 74.3% | |