Preface
Computer vision (CV) transforms visual data into actionable insights to solve many business challenges. In recent years, due to the availability of increased computing power and access to vast amounts of data, CV has become more accessible. Amazon Web Services (AWS) has played an important role in democratizing CV by providing services to build, train, and deploy CV models.
In this book, you will begin by exploring the applications of CV and features of Amazon Rekognition and Amazon Lookout for Vision. Then, you’ll walk through real-world use cases such as identity verification, real-time video analysis, content moderation, and detecting manufacturing defects to understand how to implement AWS AI/ML services. You’ll also use Amazon SageMaker for data annotation, training, and deploying CV models. As you progress, you’ll learn best practices and design principles for scaling, reducing cost, improving the security posture, and mitigating the bias of CV workloads.
By the end of this book, you’ll be able to accelerate your business outcomes by building and implementing CV into your production environments with AWS AI/ML services.