b2874f3f-285d-4ae6-9bb4-6bfe3eacbfff eng utf8 dataset dataset NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom polardatacentre@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact 2025-06-06 ISO 19115 Geographic Information - Metadata ISO 19115:2003(E) European Petroleum Survey Group (EPSG) Geodetic Parameter Registry 2008-11-12 publication European Petroleum Survey Group EPSGadministrator@iogp.org https://www.epsg-registry.org/ EPSG Geodetic Parameter Dataset The EPSG Geodetic Parameter Dataset is a structured dataset of Coordinate Reference Systems and Coordinate Transformations, accessible through this online registry. information publisher urn:ogc:def:crs:EPSG::3031 6.18.3 Automated detection of Antarctic benthic organisms in high-resolution in situ imagery to aid biodiversity monitoring: optimal model weights 2025-06-06 creation 2025-06-06 revision 2025-06-06 publication 2025-06-06 released 1.0 https://doi.org/10.5285/b2874f3f-285d-4ae6-9bb4-6bfe3eacbfff doi GB/NERC/BAS/PDC/02070 https://data.bas.ac.uk/ Please cite this item as: Trotter, C., Griffiths, H.J., Khan, T.M., & Whittle, R.J. (2025). Automated detection of Antarctic benthic organisms in high-resolution in situ imagery to aid biodiversity monitoring: optimal model weights (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/b2874f3f-285d-4ae6-9bb4-6bfe3eacbfff Model weights for the optimal object detection model, trained on the Weddell Sea Benthic Dataset. Trained 2025-05. Weights should be used with a Deformable-DETR architecture. This work was funded by the UKRI Future Leaders Fellowship MR/W01002X/1 'The past, present and future of unique cold-water benthic (sea floor) ecosystems in the Southern Ocean' awarded to Rowan Whittle. No credit. completed Trotter, Cameron British Antarctic Survey Researcher author Griffiths, Huw J. British Antarctic Survey Researcher author Khan, Tasnuva M. British Antarctic Survey Researcher author Whittle, Rowan J. British Antarctic Survey Researcher author NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact asNeeded completed EARTH SCIENCE > Biosphere > Ecological Dynamics > Biodiversity EARTH SCIENCE > Oceans > Marine Environment Monitoring theme Global Change Master Directory (GCMD) Science Keywords 2026-01-27 publication 23 Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA) Greenbelt MD United States of America https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords Global Change Master Directory (GCMD) Keywords The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. information publisher Benthos biodiversity monitoring computer vision deep learning marine ecology theme Habitats and biotopes Oceanographic geographical features theme GEMET - INSPIRE themes, version 1.0 2021-01-06 revision otherRestrictions no limitations to public access otherRestrictions no limitations license Open Government Licence v3.0 otherRestrictions Data are supplied under Open Government Licence v3.0 otherRestrictions None doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference url url dependency url url largerWorkCitation url url crossReference textTable eng utf8 environment oceans -180.0 180.0 -90.0 90.0 2025-05-28 2025-05-28 It is recommended that careful attention be paid to the contents of any data, and that the author be contacted with any questions regarding appropriate use. If you find any errors or omissions, please report them to polardatacentre@bas.ac.uk. NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information distributor application/zip bytes 171966464 http://ramadda.data.bas.ac.uk/repository/entry/show?entryid=b2874f3f-285d-4ae6-9bb4-6bfe3eacbfff WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: Model weights for a Deformable-DETR architecture, trained to detect 25 Antarctic benthic morphotypes using the Weddell Sea Benthic Dataset (see Related URLs). Model version: 1.0.0. Model weights correspond to the optimal object detection model capable of automated benthic organism detection as described in [in-prep]. For model development code, (see Related URLs). Data collection: The model was trained using a single High Performance Computing node with CentOS 7, and one NVIDIA A2 GPU. Training was performed using Python v3.8.20 alongside the following packages: MMDetection v3.3.0 [1] Pytorch v2.4.0 Pytorch-cuda v12.1 torchvision v0.19.0 sahi v0.11.22 [2] albumentations v1.3.1 [3] asNeeded completed