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

Lauren Mullennex

Nate Bachmeier

Jay Rao

$31.99 ~~$35.99~~

4.9 (8 Ratings)

eBook Mar 2023 324 pages 1st Edition

Lauren Mullennex

Nate Bachmeier

Jay Rao

$31.99 ~~$35.99~~

4.9 (8 Ratings)

eBook Mar 2023 324 pages 1st Edition

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

View table of contents

Preview Book

Download Code

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

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

Unlocking the Secrets of Prompt Engineering

$44.99

$49.99

$44.99

Total $ 139.97

Filter reviews by

All

Amazon verified reviews

andrescolombia May 09, 2023

Beginners or experimented AIML professionals can benefit from this easy to read yet strong and relevant compilation of must know tips, tricks, and evolution of CV, and where’s heading to based on relevant use cases and vertical examples.

Amazon Verified review

Dror Aug 30, 2023

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!

tt0507 May 02, 2023

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.

Deep P. May 07, 2023

"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.

Rmz Jun 19, 2023

The authors did a great job in summarizing modern approaches to using AWS for computer vision. The setup instructions in addition to the code is important for beginners to digest - and as someone who uses AWS often for CV, I find this to be a great resource to quickly dive deep into areas I am not familiar with

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

What do you get with eBook?