Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 39-47 |
| Gender | Female, 85.7% |
| Happy | 88.3% |
| Calm | 6.3% |
| Sad | 1.6% |
| Surprised | 1.5% |
| Fear | 1.5% |
| Angry | 0.4% |
| Confused | 0.3% |
| Disgusted | 0.2% |
AWS Rekognition
| Age | 53-61 |
| Gender | Female, 72% |
| Calm | 80.3% |
| Happy | 16.2% |
| Disgusted | 1.3% |
| Confused | 0.8% |
| Sad | 0.5% |
| Angry | 0.4% |
| Surprised | 0.2% |
| Fear | 0.2% |
AWS Rekognition
| Age | 35-43 |
| Gender | Female, 59.4% |
| Calm | 57.2% |
| Disgusted | 16.2% |
| Sad | 12% |
| Fear | 6% |
| Happy | 3.2% |
| Angry | 2.4% |
| Confused | 2.1% |
| Surprised | 0.9% |
Feature analysis
Categories
Imagga
| paintings art | 96.2% | |
| interior objects | 3.2% | |
Captions
Microsoft
created on 2022-01-15
| a vintage photo of a group of people sitting in a chair | 62.6% | |
| a vintage photo of a group of people sitting on a chair | 59.8% | |
| a vintage photo of some people that are sitting on a chair | 57.4% | |
Text analysis
Amazon
