No detailed description available for "Computer Vision on AWS".
Sprache
Verlagsort
Basel/Berlin/Boston
Großbritannien
Zielgruppe
Editions-Typ
Produkt-Hinweis
Dateigröße
ISBN-13
978-1-80324-820-2 (9781803248202)
Schweitzer Klassifikation
Mullennex Lauren:
Lauren Mullennex is a Senior AI/ML Specialist Solutions Architect at AWS. She has broad experience in infrastructure, DevOps, and cloud architecture across multiple industries. She has published multiple AWS AI/ML blogs, spoken at AWS conferences, and focuses on developing solutions using CV and MLOps.Bachmeier Nate:
Nate Bachmeier is a Principal Solutions Architect at AWS (Ph.D. CS, MBA). He nomadically explores the world one cloud integration at a time, focusing on the Financial Service industry.Rao Jay:
Jay Rao is a Principal Solutions Architect at AWS. He enjoys providing technical and strategic guidance to customers and helping them design and implement solutions.
Table of Contents - 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
