Learn to implement YOLOv12, the latest real-time object detection model, for detecting brain tumors in MRI scans through this comprehensive tutorial video. Master the fundamentals of custom object detection, including dataset preparation, image annotation with bounding boxes, and model training specifically for medical imaging applications. Follow detailed steps to prepare a brain tumor dataset, understand the differences between pre-trained and custom models, and deploy the trained model for detecting tumors in new MRI scans. Access complete code and dataset resources through the provided GitHub repository, and gain practical experience in applying cutting-edge object detection technology to critical medical diagnostics.