This repository contains sample solution that demonstrates how to deploy and execute Geospatial Analysis using Azure Synapse Analytics workload on your Azure tenant. We recommend that you read the document on "Geospatial Analysis using Azure Synapse Analytics" before deploying this solution.
Disclaimer: The solution and samples provided in this repository is for learning purpose only. They're intended to explore the possibilites of the Azure Services and are a starting point to developing your own solution. We recommend that you follow the security best practices as per the Microsoft documentation for individual services.
Start by following the README.md to setup the Azure resources required to execute the pipeline.
This solution uses the Custom Vision Model as a sample AI model to demonstrate end-to-end Azure Synapse workflow for geospatial analysis. In this sample solution, the AI model detects swimming pools for a given geospatial data.
You can use this solution to integrate other AI models. Each AI Model requires their input geospatial data to be in a specific format. When adapting this solution for a different AI Model, make sure the geospatial data transform steps are modified to adapt to the individual AI Model's needs.
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
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This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.
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