Overview
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Learn to implement object detection for bone fractures using YOLOv8 and Python in this 26-minute tutorial video. Follow step-by-step instructions to load a trained YOLO model, process images, and visualize predictions and ground truth annotations. Discover how to import the YOLOv8 model from the Ultralytics library, interpret annotation data from YAML files, train the model with a custom dataset, and make predictions by drawing bounding boxes around detected fractures. Access the provided code, dataset link, and additional resources to enhance your computer vision skills in medical imaging applications.
Syllabus
Introduction
Installation
Download the dataset
Train
Predict a test image
Taught by
Eran Feit