Скачать или смотреть YOLOv12 on Custom dataset | Brain Tumor Detection

In this video, we walk you through step-by-step training of YOLOv12 for custom object detection, applied to brain tumor detection using MRI scans. YOLOv12 is the latest real-time object detection model, and we demonstrate how to prepare a custom dataset, annotate images, train the model, and test it on new data.

This tutorial is perfect for medical imaging enthusiasts, AI practitioners, and deep learning students who want to implement YOLOv12 on custom datasets.

🔍 What You’ll Learn
What is custom object detection and how it differs from pre-trained models
How to prepare your dataset for YOLOv12 (brain tumor detection)
Annotating images with bounding boxes for training
Step-by-step training of YOLOv12 on a custom dataset
Testing and deploying the trained model on new MRI scans

📂 GitHub Code
Access the complete implementation here:
https://github.com/codewithaarohi/YOL...

📌 Dataset
Download the dataset here:
https://github.com/ultralytics/assets...

💬 Queries / Support
Email: [email protected]

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