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How to Contribute to Ultralytics Repository | Ultralytics Models, Datasets and Documentation πŸš€
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Ultralytics YOLO11 | Training, Inference, Benchmarking, and Deployment Explained! πŸš€ - How to Contribute to Ultralytics Repository | Ultralytics Models, Datasets and Documentation πŸš€

5.0 (2)
18 learners

What you'll learn

This course includes

  • 15 hours of video
  • Certificate of completion
  • Access on mobile and TV

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In this tutorial, we will explore the process of contributing to the Ultralytics repository. This tutorial will walk you through the steps to fork, clone, and modify the Ultralytics codebase while ensuring seamless contributions to the project. Additionally, you will learn how to contribute to the Ultralytics documentation and datasets. This tutorial is created to help you get started with open-source contributions to Ultralytics. Key Highlights: 00:00 - Introduction: Overview of the contribution process to the Ultralytics repository. 00:35 - GitHub Repository Overview: Quick tour of the Ultralytics GitHub repository. 02:44 - Forking the Repository: Step-by-step process to fork the Ultralytics repository. 03:24 - Cloning the Repository: Cloning the Ultralytics repository to your local machine. 03:36 - Codebase Changes: How to make changes in the existing Ultralytics codebase. 05:32 - Pull Request Workflow: How to open a Pull Request (PR) in the Ultralytics repository. 06:13 - Documentation Contributions: Steps to contribute to the Ultralytics documentation. 07:05 - Dataset Contributions: How to contribute to Ultralytics datasets effectively. 07:25 - Summary: Recap and next steps for contributing to Ultralytics. Explore contribution guidelines ➑️ https://docs.ultralytics.com/help/contributing/ πŸ”— Key Ultralytics Resources: 🏒 About Us: https://ultralytics.com/about πŸ’Ό Join Our Team: https://ultralytics.com/work πŸ“ž Contact Us: https://ultralytics.com/contact πŸ’¬ Discord Community: https://discord.com/invite/ultralytics πŸ“„ Ultralytics License: https://ultralytics.com/license πŸ”¬ Ultralytics YOLO Resources: πŸ’» GitHub Repository: https://github.com/ultralytics/ πŸ“š Documentation: https://docs.ultralytics.com/ Stay updated with our latest innovations in AI and computer vision. Subscribe to our channel for tutorials, product updates, and insights from industry experts! #Ultralytics #YOLO #ComputerVision #AI #MachineLearning #DeepLearning

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