e-learning
AI pipeline for annotating marine species (Project Moorev - Marine)
Abstract
In this tutorial, we will explore a complete pipeline for annotating images and videos of marine species. As an example, we will use a video from the Moorev project, cut into a short clip and available on Zenodo.
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 we use artificial intelligence to annotate images of marine species?
- How can we check and correct these annotations?
Learning Objectives
- Use SAM3 to automatically detect marine species from a simple keyword
- Correct generated annotations with Edit COCO Annotation
Licence: Creative Commons Attribution 4.0 International
Keywords: AI segmentation, Imaging, Marine ecosystems, YOLO, biodiversity, deep learning, object detection
Competency level: • Beginner
Target audience: Students
Resource type: e-learning
Version: 3
Status: Active
Prerequisites:
- FAIR Bioimage Metadata
- Introduction to Galaxy Analyses
- REMBI - Recommended Metadata for Biological Images – metadata guidelines for bioimaging data
Learning objectives:
- Use SAM3 to automatically detect marine species from a simple keyword
- Correct generated annotations with Edit COCO Annotation
Date modified: 2026-09-09
Date published: 2026-07-24
Authors: Arthur Barreau, 
Yvan Le Bras, Nadine Le Bris
Contributors: Björn Grüning, Arthur Barreau, Yvan Le Bras, Marie Josse, Kevin Payet, Saskia Hiltemann
Scientific topics: Imaging
Activity log
