Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 23-35 |
| Gender | Female, 94.7% |
| Calm | 85% |
| Sad | 7.6% |
| Surprised | 2% |
| Happy | 1.9% |
| Angry | 1.2% |
| Fear | 0.9% |
| Confused | 0.7% |
| Disgusted | 0.6% |
AWS Rekognition
| Age | 22-34 |
| Gender | Male, 64% |
| Sad | 48% |
| Calm | 38.9% |
| Happy | 8.9% |
| Angry | 1.9% |
| Confused | 0.9% |
| Fear | 0.7% |
| Surprised | 0.4% |
| Disgusted | 0.4% |
AWS Rekognition
| Age | 17-29 |
| Gender | Male, 54% |
| Calm | 92.9% |
| Sad | 3% |
| Surprised | 1.3% |
| Happy | 0.8% |
| Disgusted | 0.7% |
| Confused | 0.5% |
| Angry | 0.5% |
| Fear | 0.3% |
Feature analysis
Amazon
| Person | 98.4% | |
Categories
Imagga
| paintings art | 71.9% | |
| food drinks | 27.8% | |
Captions
Microsoft
created on 2021-12-14
| a vintage photo of a man and woman posing for a picture | 84.8% | |
| a vintage photo of a man and a woman posing for a picture | 84.7% | |
| a vintage photo of a man and woman posing for the camera | 80.9% | |