Product description ※Please note that product information is not in full comprehensive meaning because of the machine translation.
Information Science Computer Vision (CV) analyzes visual information and solves many business problems.
Build a computer vision system using Amazon Web Services (AWS) AI and machine learning services.
Learn how to implement it so that it can be deployed in real production.
Translated version of Packt Publishing's Computer Vision on AWS.
[Audience]
Machine learning engineers and data scientists
Want to understand how to build a computer vision system in AWS
Engineers who understand machine learning concepts and the Python programming language
Part 1 : Introduction to computer vision in AWS and Amazon Rekognition
Introduction to computer vision in AWS and Amazon Rekognition
Chapter 1 : Introduction to computer vision in AWS and Amazon Rekognition
Chapter 1 : Introduction to computer vision in AWS and Amazon Rekognition
Overview of computer vision applications and AWS's AI and machine learning services
Chapter 2 : Using Amazon Rekognition
Overview of computer vision applications and AWS's AI and machine learning services
Chapter 2 Using Amazon Rekognition
Chapter 3 Creating Custom Models with Amazon Rekognition Custom Labels
Part 2 : Applying Computer Vision to Real-World Use Cases
Chapter 4 Building a Non-contact Hotel Check-in System with Identity Verification
Chapter 4 Building a Video Analysis Pipeline Automation
Chapter 6 Censoring Content with AWS AI Services
Part 3 : Computer Vision at the Edge
Chapter 7 Introducing the Amazon Lookout for Vision
Chapter 8 Introducing the Amazon Lookout for Vision
Chapter 9 Using the Amazon SageMaker Ground Truth to Detect Manufacturing Defects
Part 4 : Building Computer Vision Solutions with Amazon SageMaker
Chapter 9 Using the Amazon SageMaker Ground Truth to Detect Manufacturing Defects
Chapter 11 Human-in-the-loop integration with Amazon Augmented AI (A2I)