Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 29-39 |
| Gender | Male, 96.7% |
| Calm | 72.6% |
| Confused | 8.3% |
| Surprised | 7.1% |
| Sad | 6.5% |
| Happy | 1.9% |
| Fear | 1.6% |
| Disgusted | 1.1% |
| Angry | 0.8% |
AWS Rekognition
| Age | 39-47 |
| Gender | Female, 75.2% |
| Surprised | 57.2% |
| Sad | 16.4% |
| Calm | 7.7% |
| Confused | 7.2% |
| Fear | 5.2% |
| Happy | 3.7% |
| Disgusted | 1.4% |
| Angry | 1.2% |
AWS Rekognition
| Age | 34-42 |
| Gender | Male, 97.6% |
| Sad | 46% |
| Fear | 22.9% |
| Confused | 16.6% |
| Calm | 3.5% |
| Surprised | 2.9% |
| Disgusted | 2.8% |
| Angry | 2.7% |
| Happy | 2.6% |
AWS Rekognition
| Age | 34-42 |
| Gender | Male, 89.1% |
| Confused | 38.5% |
| Sad | 32.4% |
| Happy | 11.1% |
| Angry | 6.5% |
| Calm | 3.9% |
| Surprised | 3.7% |
| Disgusted | 2% |
| Fear | 1.9% |
Feature analysis
Amazon
| Person | 98.2% | |
Categories
Imagga
| paintings art | 99% | |
Captions
Microsoft
created on 2022-01-23
| text | 50.4% | |
Text analysis
Amazon
