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.

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Spis treści

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

• 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