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Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

  • Updated Jul 25, 2019
  • Jupyter Notebook
Microsoft-Azure-AZ-900-Microsoft-Azure-Fundamentals-Practice-Tests-Exams-Questions-Answers

Shows an approach to work with a microservices based architecture using .Net Core, Docker, and Azure Service Fabric/Kubernetes, applying Domain Driven Design (DDD) and Comand and Query Responsibility Segregation (CQRS) and other patterns.

  • Updated Dec 8, 2022
  • C#

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