Description:	This is a supplement to BenthicNet (https://doi.org/10.20383/103.0614) - a global compilation of seabed images designed to support the development of automated image processing tools. It makes available high-resolution seafloor images that are currently not publicly accessible online via URL. These images are available at a downsampled resolution as part of the main BenthicNet datasets.
Authors:	Misiuk, Benjamin; Memorial University of Newfoundland; 0000-0001-5822-4574 Lowe, Scott C.; Vector Institute; 0000-0002-5237-3867 Xu, Isaac; Dalhousie University; 0000-0003-4443-0582
Keywords:	benthic habitat seabed photograph deep learning computer vision underwater image
Field of Research:	Earth and related environmental sciences > Oceanography > Biological oceanography
Publication Date:	2024-06-27
Publisher:	Federated Research Data Repository / dépôt fédéré de données de recherche
Funder:	Ocean Frontier Institute; Benthic Ecosystem Mapping & Engagement
URI:	https://doi.org/10.20383/103.0966
Related Identifiers:	This dataset is cited by https://doi.org/10.20383/103.0614 This dataset is cited by http://arxiv.org/abs/2405.05241
Geographic Coverage:	Place Name Global
Geolocation Box:	West Longitude -180 East Longitude 180 North Latitude 90 South Latitude -90
Appears in Collections:	CIOOS Atlantic / SIOOC Atlantique