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)
Part 1: Introduction to CV on AWS and Amazon Rekognition
Part 2: Applying CV to Real-World Use Cases
Part 3: CV at the edge
Part 4: Building CV Solutions with Amazon SageMaker
Part 5: Best Practices for Production-Ready CV Workloads

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Applied Geospatial Data Science with Python

David S. Jordan

ISBN: 9781803238128

  • Understand the fundamentals needed to work with geospatial data
  • Transition from tabular to geo-enabled data in your workflows
  • Develop an introductory portfolio of spatial data science work using Python
  • Gain hands-on skills with case studies relevant to different industries
  • Discover best practices focusing on geospatial data to bring a positive change in your environment
  • Explore solving use cases, such as traveling salesperson and vehicle routing problems

3D Deep Learning with Python

Xudong Ma, Vishakh Hegde, Lilit Yolyan

ISBN: 9781803247823

  • Develop 3D computer vision models for interacting with the environment
  • Get to grips with 3D data handling with point clouds, meshes...