Add KITTI dataset notebook

[RizwanMunawar]

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Adds a new KITTI training notebook, fixes IMX500 export naming to align with YOLO11, and refreshes the README notebooks table with new links and media. 🚀

📊 Key Changes

• New notebook: Object Detection with KITTI using Ultralytics YOLO11, including training, prediction, and export examples.
  • See the KITTI dataset docs: Ultralytics KITTI dataset
• README table updated:
  • Cleaned up formatting for improved readability.
  • Added entry for the KITTI notebook.
  • Construction-PPE notebook now includes a YouTube link and dataset link.
• Consistency fix: Replaced incorrect IMX500 export model name yolov8n_imx_model/ with yolo11n_imx_model/ across multiple notebooks.
• Notebooks data source updated (docs/notebooks-data.yml) to include:
  • Construction-PPE: YouTube + dataset links.
  • New KITTI entry with docs and dataset references.

🎯 Purpose & Impact

• Improves user onboarding with a complete, ready-to-run KITTI tutorial for training YOLO11 on a well-known autonomous driving dataset. 🛣️
• Ensures accurate export guidance for Sony IMX500 by aligning filenames with YOLO11, preventing confusion or export errors. ✅
• Enhances discoverability and learning via enriched README table and added media links (YouTube, datasets). 🎥
• Strengthens branding and documentation consistency across notebooks. 📚

[UltralyticsAssistant]

👋 Hello @RizwanMunawar, thank you for submitting a ultralytics/notebooks 🚀 PR! This is an automated review and an Ultralytics engineer will assist shortly. To ensure a seamless integration of your work, please review the following checklist:

• ✅ Define a Purpose: Clearly explain the purpose of your fix or feature in your PR description, and link to any relevant issues. Ensure your commit messages are clear, concise, and adhere to the project's conventions.
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For more guidance, please refer to our Contributing Guide. Don't hesitate to leave a comment if you have any questions. Thank you for contributing to Ultralytics! 🚀

📝 Quick review notes:

• Consider adding YouTube/Blog links for the new KITTI notebook in docs/notebooks-data.yml when available.
• Please double-check notebook text for minor inconsistencies (e.g., dataset link references and dataset split counts) to ensure everything aligns with the current KITTI docs and YAML.

[UltralyticsAssistant]

🔍 PR Review

_{Made with ❤️ by Ultralytics Actions}

Fix the Colab badge to open this KITTI notebook, correct the KITTI documentation link, and update the IMX500 export filename to the YOLO11 naming convention.

💬 Posted 3 inline comments

[UltralyticsAssistant]

🔍 PR Review 2

_{Made with ❤️ by Ultralytics Actions}

Everything runs as expected, but please update the stated KITTI validation-image count to 1,496 so the documentation matches the dataset that the notebook downloads and trains on.

💬 Posted 1 inline comment

[UltralyticsAssistant]

🔍 PR Review 3

_{Made with ❤️ by Ultralytics Actions}

Nice work shipping the KITTI walkthrough and surfacing it across README/docs. Please tidy the duplicated word in the new notebook intro and add a dataset link in docs/notebooks-data.yml so the autogenerated table shows a badge instead of a dash.

💬 Posted 2 inline comments

[UltralyticsAssistant]

🔍 PR Review 4

_{Made with ❤️ by Ultralytics Actions}

Replace the unsupported uv installation command with the standard pip install ultralytics so the new KITTI notebook runs cleanly across our hosted environments.

💬 Posted 1 inline comment

[lakshanthad]

LGTM

[UltralyticsAssistant]

🎉 Huge thanks for the merge on PR #78 in ultralytics/notebooks! @RizwanMunawar and @lakshanthad, your work shines.

“Alone we can do so little; together we can do so much.” — Helen Keller. Your collaboration delivered a polished KITTI training notebook for YOLO11, aligned IMX500 export naming to yolo11n_imx_model, and refreshed the README with clearer links and media—small details that create a big impact on onboarding and reliability.

This upgrade makes it easier for users to train, export, and learn—especially with the new KITTI tutorial and improved discoverability. For anyone getting started, see the Ultralytics KITTI dataset guide.

Appreciate the craftsmanship and consistency—onward and upward! 🚀