/dstoolkit-azoda

Azure Object Detection Accelerator. A repo for quickly and easily setting up a sample object detection project with training, labelling, inference, testing and deployment. The repo uses a synthetic dataset by default and shows how to use your own labelled or unlabelled dataset

Primary LanguagePythonMIT LicenseMIT

Azure Object Detection Accelerator

This repository serves as a starting point and accelerator for object detection projects on Azure. The walkthrough will help you to quickly setup training, labelling, inference, testing and deployment pipelines within a few minutes of setup. A starter dataset is generated for demonstration purposes to show you where to place your data. The pipelines clearly show the steps required so that changes can be easily made as required.

Prerequisites

In order to setup your solution you will need the following:

  • Access to an Azure subscription
  • Access to an Azure DevOps subscription

Getting Started

Follow the walkthrough here for detailed instructions. The setup only requires a few minutes of setup and will take about an hour for all the pipelines to run the first time.

Contributing

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.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.