Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 33-49 |
| Gender | Female, 75.3% |
| Happy | 64.2% |
| Calm | 24.8% |
| Angry | 4.4% |
| Surprised | 2.3% |
| Disgusted | 2.2% |
| Fear | 0.9% |
| Sad | 0.9% |
| Confused | 0.5% |
AWS Rekognition
| Age | 38-56 |
| Gender | Female, 72.1% |
| Calm | 82.1% |
| Sad | 4.8% |
| Angry | 4.7% |
| Happy | 4.6% |
| Surprised | 1.3% |
| Confused | 1% |
| Disgusted | 1% |
| Fear | 0.5% |
AWS Rekognition
| Age | 18-30 |
| Gender | Male, 50.9% |
| Confused | 72.3% |
| Surprised | 9% |
| Calm | 7.5% |
| Sad | 6.5% |
| Angry | 2.1% |
| Happy | 1.2% |
| Disgusted | 1% |
| Fear | 0.5% |
AWS Rekognition
| Age | 25-39 |
| Gender | Female, 98.1% |
| Calm | 74.2% |
| Disgusted | 8% |
| Surprised | 4.7% |
| Confused | 4.2% |
| Sad | 3.8% |
| Happy | 3.4% |
| Fear | 0.9% |
| Angry | 0.8% |
Feature analysis
Amazon
| Person | 96.3% | |
Categories
Imagga
| paintings art | 99.3% | |
Captions
Microsoft
created on 2021-12-15
| a book on a table | 40% | |
Text analysis
Amazon
