Deep learning for detection and counting of Nephrops norvegicus from underwater videos

Deep learning for detection and counting of Nephrops norvegicus from underwater videos

18 pages, 10 figures, 7 tables.-- Data availability: The data underlying this article were provided and are property by Institut de Ciències del Mar (ICM-CSIC). Data can be shared on request to the corresponding owner (ICM). plain-reversed

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Bibliographic Details
Main Authors: Burguera, Antonio, Bonin-Font, Francisco, Chatzievangelou, Damianos, Vigo Fernandez, María, Aguzzi, Jacopo
Other Authors: Agencia Estatal de Investigación (España)
Format: artículo biblioteca
Language:English
Published: Oxford University Press 2024-09
Subjects:Neural network, Nephrops norvegicus, Underwater robots, Stock assessment, MPAs, FNTZs, Deep-sea, Conserve and sustainably use the oceans, seas and marine resources for sustainable development,
Online Access:http://hdl.handle.net/10261/369494
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http://hdl.handle.net/10261/369494

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