Book Image

Computer Vision on AWS

By : Lauren Mullennex, Nate Bachmeier, Jay Rao
Book Image

Computer Vision on AWS

By: Lauren Mullennex, Nate Bachmeier, Jay Rao

Overview of this book

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.
Table of Contents (21 chapters)
1
Part 1: Introduction to CV on AWS and Amazon Rekognition
5
Part 2: Applying CV to Real-World Use Cases
9
Part 3: CV at the edge
12
Part 4: Building CV Solutions with Amazon SageMaker
15
Part 5: Best Practices for Production-Ready CV Workloads

Technical requirements

You will require the following:

  • Access to an active Amazon Web Services (AWS) account with permissions to access Amazon SageMaker and Amazon Rekognition
  • PyCharm or any Python IDE
  • All the code examples for this chapter can be found on GitHub at https://github.com/PacktPublishing/Computer-Vision-on-AWS

A Jupyter notebook is available for running the example code from this chapter. You can access the most recent code from this book’s GitHub repository, https://github.com/PacktPublishing/Computer-Vision-on-AWS. Clone that repository to your local machine using the following command:

$ git clone https://github.com/PacktPublishing/Computer-Vision-on-AWS
$ cd Computer-Vision-on-AWS/03_RekognitionCustomLabels

Additionally, you will need an AWS account and Jupyter notebook. Chapter 1 contains detailed instructions for configuring the developer environment.