Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 22-30 |
| Gender | Female, 94.1% |
| Calm | 97.1% |
| Sad | 2.5% |
| Happy | 0.1% |
| Confused | 0.1% |
| Disgusted | 0.1% |
| Surprised | 0.1% |
| Fear | 0.1% |
| Angry | 0% |
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 | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| cars vehicles | 70% | |
| nature landscape | 16.4% | |
| food drinks | 4.4% | |
| beaches seaside | 4.1% | |
| paintings art | 2.5% | |
Captions
Microsoft
created on 2022-01-15
| a group of people sitting in a field | 67.9% | |
| a group of people in a field | 67.8% | |
| a group of people sitting at a beach | 67.7% | |
Text analysis
Amazon
