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Description: This is a supplement to BenthicNet ( - 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; ORCID iD 0000-0001-5822-4574
Lowe, Scott C.; Vector Institute; ORCID iD 0000-0002-5237-3867
Xu, Isaac; Dalhousie University; ORCID iD 0000-0003-4443-0582
Keywords: benthic habitat
seabed photograph
deep learning
computer vision
underwater image
Field of Research: 
Earth and related environmental sciences
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
Related Identifiers: 
This dataset is cited by

This dataset is cited by
Geographic Coverage: 
Place Name
Geolocation Box: 
West Longitude
East Longitude
North Latitude
South Latitude
Appears in Collections:CIOOS Atlantic / SIOOC Atlantique

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Access to this dataset is subject to the following terms:
Creative Commons Attribution 4.0 International (CC BY 4.0)
Misiuk, B., Lowe, S., Xu, I. (2024). BenthicNet-URLs. Federated Research Data Repository.