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Description: BenthicNet is a global compilation of seabed images designed to support the development of automated image processing tools. We currently have the need, but not the resources, to automate the classification of seabed images for the purposes of benthic ecology, mapping, and conservation. BenthicNet provides a volume of images appropriate for the training of machine and deep learning models that may be used for automatic image processing and classification. The dataset is global in scope, containing images from a range of locations, depths, and environments. Images and metadata were obtained from project partners, open access repositories, and third party hosting locations (such as journal supplementary materials), and have been standardized to a common format.
Notes: Image data within this collection are made available under a variety of terms. The specific license assigned to each image set is listed in the document "00_Documentation/all_licenses_refs.csv" and the full terms and conditions of each license are available in "00_Documentation/licenses".
Authors: Misiuk, Benjamin; Memorial University of Newfoundland; ORCID iD 0000-0001-5822-4574
Lowe, Scott C.; Dalhousie University; Vector Institute; ORCID iD 0000-0002-5237-3867
Xu, Isaac; Dalhousie University
Keywords: benthic habitat
seabed photograph
deep learning
computer vision
underwater image
Field of Research: 
Earth and related environmental sciences
Biological oceanography
Publication Date: 2024-04-30
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
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. Federated Research Data Repository.