e-learning
Object detection with YOLO
Abstract
YOLO (You Only Look Once) is a fast, deep learning-based algorithm for real-time object detection. It predicts object classes and bounding boxes in a single pass over the image. YOLOv8 is a specific version, offering improved accuracy and speed.
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- How can I run YOLO models on marine images to detect species using Galaxy?
Learning Objectives
- Detect marine species in underwater images using a pretrained YOLOv8 model
- Understand the requirements and output types of a detection model
Licence: Creative Commons Attribution 4.0 International
Keywords: Ecology, biodiversity, deep-learning, ecology, marine, object-detection
Target audience: Students
Resource type: e-learning
Version: 3
Status: Active
Prerequisites:
Introduction to Galaxy Analyses
Learning objectives:
- Detect marine species in underwater images using a pretrained YOLOv8 model
- Understand the requirements and output types of a detection model
Date modified: 2026-05-08
Date published: 2026-05-06
Authors: Mohammad Joudy, 
Yvan Le Bras
Contributors: Marie Josse, Arthur Barreau, Saskia Hiltemann, Yvan Le Bras
Scientific topics: Ecology, Biodiversity
Activity log
