Add brain-tumor dataset docs page

[RizwanMunawar]

@glenn-jocher

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Introducing a dedicated Brain Tumor Detection dataset for enhancing medical imaging analysis with Ultralytics technology.

📊 Key Changes

• New Brain Tumor Dataset Documentation: Detailed guidance on utilizing a leading dataset for brain tumor detection in medical imaging. 🧠💡
• Dataset Structure Update: The dataset is organized into training (893 images) and testing sets (223 images), each with corresponding annotations. 📁
• YAML Configuration: Added a brain-tumor.yaml file for easy dataset integration with YOLO model training. 🛠️
• Enhanced Training and Inference Examples: Provided code snippets for training a YOLO model and making predictions with the brain tumor dataset. 💻
• Showcase of Sample Images and Annotations: Visual examples to demonstrate the dataset's application in training deep learning models for object detection. 🖼️

🎯 Purpose & Impact

• Aid Early Diagnosis: Facilitates the development of AI models that can assist in early detection and treatment planning of brain tumors. 🎯
• Promote Research and Innovation: Encourages advancements in medical imaging analysis, potentially leading to breakthroughs in diagnostic technologies. 🔍
• Support for Developers: Provides developers with comprehensive resources and examples to leverage the dataset effectively for training cutting-edge YOLO models. 🤝

This update marks a significant step toward harnessing the power of deep learning in the medical field, especially for critical applications such as brain tumor detection.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 38.81%. Comparing base (f9edac6) to head (093e4cd).

❗ Current head 093e4cd differs from pull request most recent head 124aadb. Consider uploading reports for the commit 124aadb to get more accurate results

Additional details and impacted files

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- Coverage   80.00%   38.81%   -41.19%     
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[glenn-jocher]

@RizwanMunawar really nice!