Automatic detection and classification of coastal Mediterranean fish from underwater images: Good practices for robust training
11 pages, 3 figures, 5 tables, supplementary material https://www.frontiersin.org/articles/10.3389/fmars.2023.1151758/full#supplementary-material.-- Data availability statement: The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material
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Main Authors: | , , , , , , , , , , , |
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Other Authors: | |
Format: | artículo biblioteca |
Language: | English |
Published: |
Frontiers Media
2023-04
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Subjects: | Deep learning, Mediterranean, Fish, Pre-treatment, YOLOv5, EfficientNet, Faster RCNN, Conserve and sustainably use the oceans, seas and marine resources for sustainable development, |
Online Access: | http://hdl.handle.net/10261/311771 |
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