Learn to implement object detection for ships using YOLOv8 and Python in this 30-minute video tutorial. Convert XML annotations to YOLO format, import the Ultralytics YOLOv8 model, load YAML annotation data, train a custom model on a ships dataset, and make predictions with bounding box visualizations. Follow along to gain practical skills in computer vision, including data preparation, model training, and inference for maritime object detection applications.
Building a Deep Learning Model for Ship Detection Using YOLOv8
Overview
Syllabus
Introduction
Installation
Download the data + Discovery
Prepare the data
Train
Predict a test image
Taught by
Eran Feit
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