Computer Vision on AWS
Computer Vision Using AWS AI Services enables machine learning engineers and data scientists to build and scale CV applications on AWS quickly. This comprehensive guide covers best practices to consider and shows you how to integrate AWS AI/ML services into production environments with little code.
Offered by
Difficulty Level
Intermediate
Completion Time
10h48m
Language
English
About Book
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.
Computer Vision on AWS
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 10h48m total length
Computer Vision Applications and AWS AI/ML Overview
Interacting with Amazon Rekognition
Creating Custom Models with Amazon Rekognition Custom Labels
Using Identity Verification to Build a Contactless Hotel Check-In System
Automating a Video Analysis Pipeline
Moderating Content with AWS AI Services
Introducing Amazon Lookout for Vision
Detecting Manufacturing Defects using CV at the Edge
Labeling Data with Amazon SageMaker Ground Truth
Using Amazon SageMaker for Computer Vision
Integrating Human-in-the-Loop with Amazon Augmented AI (A2I)
Best Practices for Designing an End-to-End CV Pipeline
Applying AI Governance in CV
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