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BenthicNet

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
>
Oceanography
>
Biological oceanography
Publication Date: 2025-04-03
Publisher: Federated Research Data Repository / dépôt fédéré de données de recherche
Funder: Ocean Frontier Institute; Benthic Ecosystem Mapping & Engagement
URI: https://doi.org/10.20383/103.01241
Related Identifiers: 
This dataset is cited by

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

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Access to this dataset is subject to the following terms:
This dataset is made available under a custom license, as follows. The model data are available under the Creative Commons Attribution 4.0 (CC-BY-4.0) License. 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".
Citation
Misiuk, B., Lowe, S., Xu, I. (2024). BenthicNet. Federated Research Data Repository. https://doi.org/10.20383/103.01241


Version History
Version Date Summary
Version 2 2025-03-24 Some of the CSV files containing the image annotations were from a version of the dataset that was updated during the peer review process. These have now been updated to the correct versions that are described in the manuscript (https://doi.org/10.1038/s41597-025-04491-1). The changes are described in the "README_version_history_20250403.txt" document, under the "Changes published on 2025-04-03". The files within "01_BenthicNet/csvs/finalized_csvs.zip" now represent those described by these changes.
Version 1 2024-04-30