Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 90.7% |
| Calm | 46.5% |
| Disgusted | 3% |
| Angry | 11.1% |
| Happy | 4.9% |
| Sad | 25% |
| Confused | 6.8% |
| Surprised | 2.8% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 73.1% |
| Surprised | 2.7% |
| Sad | 62.8% |
| Angry | 6.4% |
| Confused | 5% |
| Calm | 19.9% |
| Happy | 1.2% |
| Disgusted | 2% |
AWS Rekognition
| Age | 23-38 |
| Gender | Female, 64.7% |
| Angry | 8.1% |
| Happy | 4.8% |
| Sad | 8.6% |
| Surprised | 3.5% |
| Disgusted | 0.8% |
| Confused | 3.7% |
| Calm | 70.6% |
Feature analysis
Categories
Imagga
Captions
Microsoft
created on 2018-04-19
| a vintage photo of a person | 91.7% | |
| a vintage photo of a group of people posing for the camera | 83.3% | |
| a vintage photo of a group of people posing for a picture | 83.2% | |
Text analysis
Amazon
