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

• Learn how to quickly deploy and automate end-to-end CV pipelines on AWS
• Implement design principles to mitigate bias and scale production of CV workloads
• Work with code examples to master CV concepts using AWS AI/ML services

• Apply CV across industries, including e-commerce, logistics, and media
• Build custom image classifiers with Amazon Rekognition Custom Labels
• Create automated end-to-end CV workflows on AWS
• Detect product defects on edge devices using Amazon Lookout for Vision
• Build, deploy, and monitor CV models using Amazon SageMaker
• Discover best practices for designing and evaluating CV workloads
• Develop an AI governance strategy across the entire machine learning life cycle

If you are a machine learning engineer or data scientist looking to discover best practices and learn how to build comprehensive CV solutions on AWS, this book is for you. Knowledge of AWS basics is required to grasp the concepts covered in this book more effectively. A solid understanding of machine learning concepts and the Python programming language will also be beneficial.