Added Brain Tumor Detection Project using CNN, YOLOv8, and YOLOv9

[iamabhishek2828]

Title: Added Brain Tumor Detection Project using CNN, YOLOv8, and YOLOv9

Description: This PR introduces a comprehensive Brain Tumor Detection project implementing multiple deep learning models to detect brain tumors with varying approaches and technologies. The project includes:

Convolutional Neural Network (CNN): A basic CNN model as a foundational approach to classify brain tumors with accuracy.
YOLOv8 and YOLOv9 Models: The integration of both YOLOv8 and YOLOv9 models to enhance object detection capabilities, specifically focusing on improving detection speed and precision for the task of brain tumor localization.
Future Scope: This project outlines future improvements, with a focus on a hybrid CNN-YOLO model, which combines the strengths of CNN’s feature extraction with YOLO’s real-time object detection capabilities.
Files Added:

README.md: Contains an overview of the project, including details on model architecture, dataset used, and evaluation metrics.
TumorProject.ipynb: Jupyter notebook implementing and explaining each model with code, results, and visualizations.
Future Work: In future iterations, this project aims to enhance performance by implementing a hybrid CNN-YOLO model, which is expected to yield higher accuracy and robustness in detecting tumors across diverse medical imaging scenarios.

[github-actions]

Thank you for submitting your pull request! 🙌 We'll review it as soon as possible. In the meantime, please ensure that you star the repository and follow me in github,otherwise PR will not merged. If there are any specific instructions or feedback regarding your PR, we'll provide them here. Thanks again for your contribution! 😊