Deepdive: Leveraging Pre-trained Deep Learning for Deep-Sea ROV Biota Identification in the Great Barrier Reef.
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| Title: | Deepdive: Leveraging Pre-trained Deep Learning for Deep-Sea ROV Biota Identification in the Great Barrier Reef. |
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| Authors: | Deo R; Geocoastal Research Group, School of Geosciences, University of Sydney, New South Wales, Australia. deo.ratneel@gmail.com.; ITTC ARC Centre for Data Analytics for Resources and Environment, Biomedical Building, University of Sydney, New South Wales, Australia. deo.ratneel@gmail.com.; Transitional Artificial Intelligence Research Group, School of Mathematics and Statistics, University of New South Wales, Sydney, Australia. deo.ratneel@gmail.com., John CM; Digital Environment Research Institute (DERI), Queen Mary University of London, Empire House, London, E1 1HH, United Kingdom., Zhang C; Geocoastal Research Group, School of Geosciences, University of Sydney, New South Wales, Australia., Whitton K; Geocoastal Research Group, School of Geosciences, University of Sydney, New South Wales, Australia., Salles T; Geocoastal Research Group, School of Geosciences, University of Sydney, New South Wales, Australia.; ITTC ARC Centre for Data Analytics for Resources and Environment, Biomedical Building, University of Sydney, New South Wales, Australia., Webster JM; Geocoastal Research Group, School of Geosciences, University of Sydney, New South Wales, Australia.; ITTC ARC Centre for Data Analytics for Resources and Environment, Biomedical Building, University of Sydney, New South Wales, Australia., Chandra R; ITTC ARC Centre for Data Analytics for Resources and Environment, Biomedical Building, University of Sydney, New South Wales, Australia.; Transitional Artificial Intelligence Research Group, School of Mathematics and Statistics, University of New South Wales, Sydney, Australia. |
| Source: | Scientific data [Sci Data] 2024 Sep 03; Vol. 11 (1), pp. 957. Date of Electronic Publication: 2024 Sep 03. |
| Publication Type: | Dataset; Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2052-4463 |
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| DOI: | 10.1038/s41597-024-03766-3 |
