A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis

Visual analysis of complex fish habitats is an important step towards sustainable fisheries for human consumption and environmental protection. Deep Learning methods have shown great promise for scene analysis when trained on large-scale datasets. However, current datasets for fish analysis tend to...

Descripción completa

Detalles Bibliográficos
Autores principales: Saleh, Alzayat, Laradji, Issam H., Konovalov, Dmitry A., Bradley, Michael, Vazquez, David, Sheaves, Marcus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473859/
https://www.ncbi.nlm.nih.gov/pubmed/32887922
http://dx.doi.org/10.1038/s41598-020-71639-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473859/
https://www.ncbi.nlm.nih.gov/pubmed/32887922
http://dx.doi.org/10.1038/s41598-020-71639-x

Ejemplares similares