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

Computer vision (CV) is a field of artificial intelligence that helps transform visual data into actionable insights to solve a wide range of business challenges. This book provides prescriptive guidance to anyone looking to learn how to approach CV problems for quickly building and deploying production-ready models.You’ll begin by exploring the applications of CV and the features of Amazon Rekognition and Amazon Lookout for Vision. The book will then walk you through real-world use cases such as identity verification, real-time video analysis, content moderation, and detecting manufacturing defects that’ll enable you to understand how to implement AWS AI/ML services. As you make progress, you'll also use Amazon SageMaker for data annotation, training, and deploying CV models. In the concluding chapters, you'll work with practical code examples, and discover best practices and design principles for scaling, reducing cost, improving the security posture, and mitigating bias of CV workloads.By the end of this AWS book, you'll be able to accelerate your business outcomes by building and implementing CV into your production environments with the help of AWS AI/ML services. Spis treści: 1. Computer Vision Applications and AWS AI/ML Overview2. Interacting with Amazon Rekognition3. Creating Custom Models with Amazon Rekognition Custom Labels4. Using Identity Verification to Build a Contactless Hotel Check-In System5. Automating a Video Analysis Pipeline6. Moderating Content with AWS AI Services7. Introducing Amazon Lookout for Vision8. Detecting Manufacturing Defects using CV at the Edge9. Labeling Data with Amazon SageMaker Ground Truth10. Using Amazon SageMaker for Computer Vision11. Integrating Human-in-the-Loop with Amazon Augmented AI (A2I)12. Best Practices for Designing an End-to-End CV Pipeline13. Applying AI Governance in CV