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Computer Vision on AWS
Computer Vision on AWS

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

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Profile Icon Lauren Mullennex Profile Icon Nate Bachmeier Profile Icon Jay Rao
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£9.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (8 Ratings)
Paperback Mar 2023 324 pages 1st Edition
eBook
£26.99
Paperback
£33.99
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Renews at £9.99p/m
Arrow left icon
Profile Icon Lauren Mullennex Profile Icon Nate Bachmeier Profile Icon Jay Rao
Arrow right icon
£9.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (8 Ratings)
Paperback Mar 2023 324 pages 1st Edition
eBook
£26.99
Paperback
£33.99
Subscription
Free Trial
Renews at £9.99p/m
eBook
£26.99
Paperback
£33.99
Subscription
Free Trial
Renews at £9.99p/m

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Key benefits

  • 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

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.

Who is this book 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.

What you will learn

  • 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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 31, 2023
Length: 324 pages
Edition : 1st
Language : English
ISBN-13 : 9781801078689
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Product Details

Publication date : Mar 31, 2023
Length: 324 pages
Edition : 1st
Language : English
ISBN-13 : 9781801078689
Category :
Languages :
Tools :

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(8 Ratings)
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tt0507 May 02, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book serves as an excellent resource for learning about AWS and its computer vision services. The book focuses more on utilizing AWS services, so basic knowledge of computer vision is required. I especially enjoyed part 4 of the book, where they detail the real-world application of computer vision. Overall, an excellent book for people into computer vision.
Amazon Verified review Amazon
Dror Aug 30, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Deep learning (DL) has taken the world by storm, revolutionizing entire fields such as computer vision and natural language processing. Beyond the unprecedented accuracy of DL-based computer vision models, computer vision in the deep learning era has been greatly facilitated by useful cloud APIs, such as those on AWS. While there are already many good books on various aspects of modern (DL-based) computer vision, this book is an excellent and rather unique resource for leveraging cloud APIs for solving real-world computer vision tasks quickly and effectively.The book begins with a clear and detailed overview of computer vision on AWS and Amazon Rekognition. It proceeds with detailed examples of real-world use cases and their related implementations using AWS services, such as real-time video analysis, content moderation, and detection of manufacturing defects. An overview of related Amazon SageMaker capabilities is also provided, with detailed examples of data annotation, training, and deployment of computer vision models. The last part of the book describes useful best practices and important design principles, such as for scaling, cost reduction, security and mitigating bias. The accompanying GitHub repository includes practical and detailed code examples, and is very helpful in reinforcing the materials and concepts presented in the book.This practical guide will benefit any data scientist or machine learning practitioner who wants to better understand how to efficiently build effective computer vision solutions on AWS. Some understanding of machine learning concepts, as well as familiarity with the Python programming language, will be helpful to fully benefit from this book.Highly recommended!
Amazon Verified review Amazon
Deep P. May 07, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
"Computer Vision on AWS" is a comprehensive guide to building computer vision solutions using AWS services. The book is authored by Lauren Mullennex, Mate Bachmeier, and Jay Rao, who are experienced data scientists and engineers with a deep understanding of computer vision and AWS.The book is divided into five parts: "Introduction to Computer Vision on AWS and Amazon Rekognition", "Applying CV to Real-world Use-Cases", "CV at the Edge", "Building CV Solutions with Amazon SageMaker" and last but not least "Best Practices for Production-ready CV Workloads". The first part provides an introduction to computer vision and AWS services and explores the use of the Rekognition service in AWS and its use cases. In contrast, the second part delves into the details of building computer vision applications on Real World scenarios. The third part covers advanced topics such as object detection, and face recognition. The fourth part covers Enhancing the power of Building CV applications using AWS SageMaker. And the last part gives us a comprehensive guide for the best practices to follow for production-ready workload for CV applications.The book is well-written and easy to follow, even for those with little or no prior experience in computer vision or AWS. The authors provide clear explanations of key concepts and offer practical examples that illustrate how to implement computer vision solutions using AWS services. The code samples provided in the book are also very helpful for readers who want to experiment with the concepts discussed in the book.One of the book's strengths is the authors' emphasis on best practices and how to avoid common pitfalls when building computer vision solutions on AWS. They also provide guidance on how to optimize performance and cost-effectiveness when working with AWS services.Overall, "Computer Vision on AWS" is an excellent resource for anyone who wants to learn how to build computer vision solutions on AWS. The book is well-organized, and clearly written, and provides practical guidance and best practices for building computer vision applications using AWS services. I highly recommend this book to data scientists, engineers, and anyone interested in computer vision and AWS.
Amazon Verified review Amazon
Yiqiao Yin Jun 09, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
"Computer Vision on AWS" by Packt Publishers is an essential resource for tech enthusiasts seeking to delve into the captivating realm of Computer Vision (CV) and unlock its potential to derive meaningful insights from visual data. This well-crafted book offers a comprehensive guide, equipping readers with practical knowledge and hands-on expertise to overcome CV challenges and swiftly develop production-ready models.The authors skillfully navigate readers through the capabilities of Amazon Rekognition and Amazon Lookout for Vision, two groundbreaking AWS services that redefine the future of visual data interpretation. By delving into real-world applications such as identity verification, content moderation, and manufacturing defect detection, the book showcases the immense possibilities offered by these services.A highlight of "Computer Vision on AWS" lies in its mastery of Amazon SageMaker, which is extensively covered to facilitate tasks ranging from data annotation to model deployment. Readers benefit from practical code examples and invaluable best practices, enabling them to effectively scale their CV workloads, enhance security, reduce costs, and address bias concerns.Irrespective of the industry, whether it's e-commerce, logistics, or media, the book empowers readers to revolutionize their respective fields through CV. By leveraging Amazon Rekognition Custom Labels, readers can build custom image classifiers, while learning to automate CV workflows on AWS. Additionally, the book demonstrates the use of Amazon Lookout for Vision to identify product defects, even on edge devices, further broadening the scope of application.An additional strength of this book lies in its emphasis on AI governance, as it guides readers to formulate comprehensive strategies to ensure responsible deployment of CV models across the entire machine learning life cycle. By integrating AWS AI/ML services into production environments, readers gain the ability to supercharge their business outcomes, thus driving positive and transformative change.In conclusion, "Computer Vision on AWS" is a must-read for those eager to harness the power of CV and AWS services. Packed with valuable insights and practical guidance, this book enables readers to master CV techniques, utilize cutting-edge tools, and create impactful solutions. Whether a seasoned professional or a curious novice, this book equips readers to reshape industries and revolutionize the world, one visionary step at a time.
Amazon Verified review Amazon
Steven Fernandes May 06, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Computer Vision on AWS is a comprehensive guide that explores the application of computer vision (CV) across various industries using Amazon Web Services (AWS) tools. The book covers topics such as custom image classifiers, end-to-end CV workflows, product defect detection, model deployment, and AI governance strategy.The author provides clear explanations, practical examples, and real-world case studies, making the book accessible to readers of different experience levels. This resource is essential for professionals in data science, machine learning, and computer vision, as well as business leaders seeking to understand CV's potential in their domains.Overall, this book offers a practical, engaging guide to implementing CV solutions using AWS tools and is an invaluable resource for anyone looking to leverage computer vision in their industry.
Amazon Verified review Amazon
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