Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 43-51 |
| Gender | Female, 100% |
| Happy | 99.5% |
| Sad | 0.2% |
| Fear | 0.1% |
| Angry | 0.1% |
| Disgusted | 0.1% |
| Confused | 0% |
| Surprised | 0% |
| Calm | 0% |
AWS Rekognition
| Age | 50-58 |
| Gender | Male, 99.5% |
| Calm | 28.9% |
| Fear | 27.1% |
| Surprised | 21.8% |
| Sad | 12.8% |
| Happy | 3.3% |
| Angry | 3% |
| Disgusted | 2% |
| Confused | 1.1% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Unlikely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 98.1% | |
Categories
Imagga
| paintings art | 98.7% | |
| food drinks | 1.2% | |
Captions
Microsoft
created on 2022-01-09
| a group of people posing for the camera | 84.2% | |
| a group of people posing for a photo | 75.9% | |
| a group of people posing for a picture | 75.8% | |
Text analysis
Amazon
