Скачать или смотреть Brain Tumor Classification using YOLOv11 | Deep Learning | Tutorial

🎯 Brain Tumor Classification using YOLOv11
In this video, you’ll learn how to build a Brain Tumor Classification System using the YOLOv11 deep learning model. We’ll go step by step — from dataset setup and training to testing and visualizing results — using Python, OpenCV, and Ultralytics YOLO11

🚀 What’s Covered in This Video:
Downloading and organizing the Brain Tumor dataset
Creating the dataset YAML configuration file
Training a YOLOv11 classification model
Visualizing predictions on test images
Applying data augmentation (rotation, flips, scaling, shear, translation)
Saving and loading the trained model

🧠 This project showcases how AI and Deep Learning can be used in medical image analysis to detect and classify brain tumors efficiently. Perfect for students, researchers, and developers looking to build practical healthcare AI applications.

📁 GitHub Repository: https://github.com/NitinCVOrbit/Brain...

💡 Technologies Used:
Python, Ultralytics YOLOv11, OpenCV, Matplotlib, Google Colab

#AI #DeepLearning #MachineLearning #YOLOv11 #YOLO #BrainTumorClassification #MedicalAI #ComputerVision #ImageClassification #HealthcareAI #AIinHealthcare #Ultralytics #PythonProject #ColabProject #ModelTraining #EndToEndProject #CNN #YOLOClassification #MedicalImaging #TumorDetection #BrainTumorDetection #ArtificialIntelligence #AIProject #DeepLearningProject #AIforHealth #AIModel #ModelDeployment #OpenCV #Matplotlib #Python #DataScience #Augmentation #MedicalResearch #AIInnovation #ResearchAI #BrainTumorAI #Colab #Dataset #AIApplications #AICommunity #MedicalDeepLearning #AIProjects #AIinMedicine