Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 23-33 |
| Gender | Female, 99.2% |
| Calm | 98.9% |
| Sad | 0.7% |
| Angry | 0.1% |
| Confused | 0.1% |
| Surprised | 0.1% |
| Disgusted | 0% |
| Fear | 0% |
| Happy | 0% |
AWS Rekognition
| Age | 18-26 |
| Gender | Female, 100% |
| Sad | 78.3% |
| Calm | 20.3% |
| Fear | 0.5% |
| Angry | 0.3% |
| Happy | 0.2% |
| Surprised | 0.2% |
| Disgusted | 0.2% |
| Confused | 0.1% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| food drinks | 91.3% | |
| paintings art | 6.6% | |
Captions
Microsoft
created on 2022-01-08
| a stack of flyers on a table | 46% | |
| a stack of brochures on a table | 40.6% | |
| a close up of items on a table | 28.2% | |
Text analysis
Amazon
