Computer Vision on AWS: Build and deploy real-world CV solutions with Amazon Rekognition, Lookout for Vision, and SageMaker

Table of Contents

1. Computer Vision Applications and AWS AI/ML Overview
2. Interacting with Amazon Rekognition
3. Creating Custom Models with Amazon Rekognition Custom Labels
4. Using Identity Verification to Build a Contactless Hotel Check-In System
5. Automating a Video Analysis Pipeline
6. Moderating Content with AWS AI Services
7. Introducing Amazon Lookout for Vision
8. Detecting Manufacturing Defects using CV at the Edge
9. Labeling Data with Amazon SageMaker Ground Truth
10. Using Amazon SageMaker for Computer Vision
11. Integrating Human-in-the-Loop with Amazon Augmented AI (A2I)
12. Best Practices for Designing an End-to-End CV Pipeline
13. Applying AI Governance in CV