Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 29-39 |
| Gender | Male, 99.9% |
| Surprised | 61.7% |
| Calm | 34.1% |
| Sad | 1% |
| Happy | 1% |
| Confused | 0.9% |
| Angry | 0.6% |
| Disgusted | 0.5% |
| Fear | 0.2% |
AWS Rekognition
| Age | 29-39 |
| Gender | Male, 79.3% |
| Surprised | 46.1% |
| Calm | 20.4% |
| Fear | 12% |
| Sad | 7.8% |
| Confused | 5.5% |
| Angry | 4.1% |
| Disgusted | 2.5% |
| Happy | 1.8% |
AWS Rekognition
| Age | 43-51 |
| Gender | Male, 100% |
| Calm | 81.5% |
| Surprised | 5.1% |
| Happy | 3.7% |
| Sad | 3.2% |
| Angry | 2.4% |
| Confused | 1.5% |
| Fear | 1.5% |
| Disgusted | 1% |
AWS Rekognition
| Age | 34-42 |
| Gender | Male, 96.3% |
| Calm | 92.3% |
| Sad | 4.2% |
| Surprised | 1.7% |
| Happy | 0.6% |
| Angry | 0.4% |
| Confused | 0.4% |
| Disgusted | 0.3% |
| Fear | 0.1% |
Feature analysis
Categories
Imagga
| interior objects | 29.2% | |
| paintings art | 22.9% | |
| text visuals | 22.9% | |
| food drinks | 13.3% | |
| streetview architecture | 11% | |
Captions
Microsoft
created on 2022-01-30
Text analysis
