Add package-segmentation dataset notebook

[RizwanMunawar]

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

This PR makes updates to existing object-counting and heatmap-generation notebooks, introduces a new notebook for tracking objects within specific zones using YOLO, and provides another detailed notebook for training YOLO on a package segmentation dataset.

📊 Key Changes

• 🔄 File Renaming in Notebooks: Updated output filenames in object-counting and heatmap-generation notebooks for better clarity (object_counting_output.avi -> counting.avi and heatmap_output.avi -> heatmap.avi).
• 🆕 New Tracking Notebook: Added a "TrackZone" notebook that demonstrates tracking objects within user-defined zones on videos or streams using YOLO's tracking system.
• 🆕 New Segmentation Training Notebook: Introduced a notebook guiding users on training the YOLO model for package segmentation with specific datasets such as detecting packages in logistics scenarios.

🎯 Purpose & Impact

• Improved Usability: 🔧 Renaming output files ensures easier recognition and alignment with the content of the notebooks.
• New Tracking Functionality: 🔍 The "TrackZone" notebook facilitates advanced, zone-specific object tracking, ideal for applications like surveillance or crowd monitoring.
• Specialized Training: 📦 The package segmentation notebook provides a practical learning resource for training YOLO in real-world tasks like eCommerce packaging quality checks and logistic optimization.

This update brings more structured examples to users and enables more diverse usage of YOLO models for tracking, segmentation, and targeted analysis. 🌟

[UltralyticsAssistant]

👋 Hello @RizwanMunawar, thank you for submitting your ultralytics/notebooks 🚀 PR! To ensure a seamless integration of your work, please review the following checklist:

• ✅ Define a Purpose: Make sure to clearly summarize the purpose of your addition in your PR description. Linking to any relevant issues or discussions could also help the maintainers better understand your changes.
• ✅ Synchronize with Source: Ensure your PR is synchronized with the main branch of the ultralytics/notebooks repository. If it’s lagging behind, you can update it by clicking the 'Update branch' button on GitHub or by running git pull and git merge main locally.
• ✅ Ensure CI Checks Pass: Verify that all Ultralytics Continuous Integration (CI) checks pass. If any CI jobs fail, kindly troubleshoot and address those issues 💪.
• ✅ Update Documentation: If your code introduces new functionality or modifies existing features, be sure to update the documentation accordingly.
• ✅ Add Tests: Test coverage is essential for any new features or fixes. If applicable, kindly include or update relevant tests to ensure continued stability. Confirm that all tests pass before submitting.
• ✅ Sign the CLA: If this is your first contribution to an Ultralytics project, please review and sign our Contributor License Agreement (CLA) by adding the following comment to this PR: I have read the CLA Document and I sign the CLA.
• ✅ Minimize Changes: Keep your changes limited to what is necessary to achieve the core objective of your pull request. As Bruce Lee said, "Hack away the unessential." ✂️

For more information and guidelines on contributing to Ultralytics, please refer to our Contributing Guide. If you have any questions or run into issues, don’t hesitate to leave a comment here, and one of our engineers will assist you shortly 🚀.

Thank you for contributing with this great addition—a step-by-step notebook for using YOLO11 with a package segmentation dataset sounds super exciting! 🙌

[ambitious-octopus]

@RizwanMunawar please remove the hard-coded checkout:

!rm -rf ultralytics
!git clone https://github.com/ultralytics/ultralytics
%cd ultralytics
!git checkout "RizwanMunawar-patch-1"
!pip install -e .

[ambitious-octopus]

Don't forget to fix later @RizwanMunawar !

[UltralyticsAssistant]

🎉 Great news! Your PR has been merged! 🎉

Huge thanks to @RizwanMunawar for leading this and @ambitious-octopus for your valuable contributions. Your enhancements to the object-counting and heatmap notebooks, along with introducing the incredible zone-specific tracking and segmentation tools, are gifts to the community. These updates will empower countless users to unlock new possibilities with YOLO’s capabilities. 🚀

As Marcus Aurelius once said, "What we do now echoes in eternity." Your work isn’t just code—it’s a spark that will inspire innovation in fields from logistics to surveillance, making a tangible impact in the real world. 🌟

Keep shining and thank you for coding with purpose and passion. ❤️