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The Antarctic Seafloor Annotated Imagery Database.

Jan Jansen^1,2, Victor Shelamoff³, Charley Gros³

¹Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Australia. jan.jansen@utas.edu.au.

Scientific Data

|June 3, 2026

Summary

This summary is machine-generated.

Researchers created the Antarctic Seafloor Annotated Imagery Database (AS-AID) to catalog marine life. This valuable resource aids in understanding Antarctic biodiversity and can train algorithms for automated marine fauna detection.

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Published on: July 2, 2018

Area of Science:

Marine Biology
Ecology
Oceanography

Background:

Marine imagery offers cost-effective seafloor data collection.
Manual annotation of marine images is time-consuming and expensive.
Publicly available, annotated seafloor image libraries are scarce.

Purpose of the Study:

To present the Antarctic Seafloor Annotated Imagery Database (AS-AID).
To provide a comprehensive, expert-verified dataset for Antarctic marine research.
To facilitate automated analysis of marine fauna.

Main Methods:

Compiled seafloor imagery from 21 Antarctic research campaigns (1985-2019).
Annotated 3,599 georeferenced images with 632,252 expert labels using the CATAMI scheme.
Ensured pixel-level location data for all annotations.

Main Results:

Developed AS-AID with 52,491 georeferenced seafloor images.
Included 3,599 expertly annotated images with detailed biological information.
Annotations are based on the CATAMI classification scheme and expert-reviewed.

Conclusions:

AS-AID serves as a crucial reference for studying Antarctic species distributions and community patterns.
The dataset enables temporal change assessment in marine ecosystems.
AS-AID can be utilized to train machine learning algorithms for automated marine fauna detection.