Chest X-Ray Classification using YOLOv11 | Pneumonia vs Normal Detection | Full Tutorial скачать в хорошем качестве

Chest X-Ray Classification using YOLOv11 | Pneumonia vs Normal Detection | Full Tutorial

🚀 Chest X-Ray Classification using YOLOv11 | Pneumonia vs Normal | Complete Training + Testing Tutorial In this video, we build a YOLOv11 Classification model to detect Pneumonia from Chest X-ray images using a custom dataset. You will learn how to: ✔ Download dataset automatically using gdown ✔ Organize dataset into train/test folders ✔ Train YOLOv11 classification model ✔ Perform augmentation (rotation, flip, shear, translate, scale) ✔ Test the model on random images ✔ Visualize predictions in a 4×4 grid This is a perfect end-to-end guide for beginners and ML practitioners working on medical imaging & deep learning. 🧠 Technologies Used Python YOLOv11 Classification Ultralytics OpenCV Matplotlib YAML Google Colab 🔍 What You Will Learn How to prepare medical X-ray datasets How to perform data augmentation for classification How to train YOLO11-cls models How to evaluate classification accuracy How to run inference on test images How to build custom Pneumonia detection model ▶ More Videos You May Like 🔥 Train Custom Flowers Classification Model using YOLOv8 | Complete Deep Learning Tutorial 👉    • Train Custom Flowers Classification Model ...   🔥 Build a Telegram AI Image Classification Bot with YOLO | Deep Learning Project in Python 👉    • Build a Telegram AI Image Classification B...   🔥Brain Tumor Classification using YOLOv11 | Deep Learning | Tutorial 👉    • Brain Tumor Classification using YOLOv11 |...   🔥 Pneumonia Classification | Telegram Bot | Build CNN Model in PyTorch 👉    • Pneumonia Classification | Telegram Bot | ...   📌 GitHub Repository : https://github.com/NitinCVOrbit/Chest... #YOLOv11 #PneumoniaDetection #ChestXRay #MedicalImaging #DeepLearning #AIinHealthcare #ImageClassification #Ultralytics #MachineLearning #PythonProjects #CustomDataset #AIProjects #GoogleColab #HealthTech #ComputerVision