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Detecting Bone Fractures Using Deep Learning and YOLOv8 - Object Detection Tutorial

Eran Feit via YouTube

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

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