Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 23-33 |
| Gender | Male, 94% |
| Happy | 92.9% |
| Calm | 5.1% |
| Sad | 1.2% |
| Confused | 0.3% |
| Surprised | 0.2% |
| Fear | 0.1% |
| Disgusted | 0.1% |
| Angry | 0.1% |
AWS Rekognition
| Age | 12-20 |
| Gender | Male, 80.4% |
| Calm | 85.5% |
| Happy | 5.3% |
| Sad | 2.9% |
| Fear | 2.6% |
| Confused | 2% |
| Disgusted | 0.6% |
| Surprised | 0.6% |
| Angry | 0.4% |
AWS Rekognition
| Age | 23-33 |
| Gender | Female, 70.5% |
| Calm | 80.2% |
| Sad | 13.4% |
| Happy | 1.7% |
| Confused | 1.5% |
| Disgusted | 1.2% |
| Surprised | 0.9% |
| Fear | 0.7% |
| Angry | 0.4% |
Feature analysis
Categories
Imagga
| streetview architecture | 46.8% | |
| beaches seaside | 39.3% | |
| nature landscape | 7.6% | |
| cars vehicles | 4.6% | |
Captions
Microsoft
created on 2022-01-14
| a vintage photo of a group of people in a room | 90.8% | |
| a vintage photo of a group of people standing in a room | 87.4% | |
| a vintage photo of some people in a room | 87.3% | |
Text analysis
Amazon
