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

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Free Download Computer Vision on AWS: Build and deploy real-world CV solutions with Amazon Rekognition, Lookout for Vision, and SageMaker by Lauren Mullennex, Nate Bachmeier, Jay Rao
English | March 31, 2023 | ISBN: 1801078688 | 324 pages | EPUB | 20 Mb
Develop scalable computer vision solutions for real-world business problems and discover scaling, cost reduction, security, and bias mitigation best practices with AWS AI/ML services

Purchase of the print or Kindle book includes a free PDF eBook
Key FeaturesLearn how to quickly deploy and automate end-to-end CV pipelines on AWSImplement design principles to mitigate bias and scale production of CV workloadsWork with code examples to master CV concepts using AWS AI/ML servicesBook Description
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.
What you will learnApply CV across industries, including e-commerce, logistics, and mediaBuild custom image classifiers with Amazon Rekognition Custom LabelsCreate automated end-to-end CV workflows on AWSDetect product defects on edge devices using Amazon Lookout for VisionBuild, deploy, and monitor CV models using Amazon SageMakerDiscover best practices for designing and evaluating CV workloadsDevelop an AI governance strategy across the entire machine learning life cycleWho this book is for
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.
Table of ContentsProduct Information DocumentComputer Vision Applications and AWS AI/ML OverviewInteracting with Amazon RekognitionCreating Custom Models with Amazon Rekognition Custom LabelsUsing Identity Verification to Build a Contactless Hotel Check-In SystemAutomating a Video Analysis PipelineModerating Content with AWS AI ServicesIntroducing Amazon Lookout for VisionDetecting Manufacturing Defects using CV at the EdgeLabeling Data with Amazon SageMaker Ground TruthUsing Amazon SageMaker for Computer VisionIntegrating Human-in-the-Loop with Amazon Augmented AI (A2I)Best Practices for Designing an End-to-End CV PipelineApplying AI Governance in CV

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