Cargando…
An underwater observation dataset for fish classification and fishery assessment
Using Dual-Frequency Identification Sonar (DIDSON), fishery acoustic observation data was collected from the Ocqueoc River, a tributary of Lake Huron in northern Michigan, USA. Data were collected March through July 2013 and 2016 and included the identification, via technology or expert analysis, of...
Autores principales: | McCann, Erin, Li, Liling, Pangle, Kevin, Johnson, Nicholas, Eickholt, Jesse |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6176783/ https://www.ncbi.nlm.nih.gov/pubmed/30299439 http://dx.doi.org/10.1038/sdata.2018.190 |
Ejemplares similares
-
A global dataset of inland fisheries expert knowledge
por: Stokes, Gretchen L., et al.
Publicado: (2021) -
The DeepFish computer vision dataset for fish instance segmentation, classification, and size estimation
por: Garcia-d’Urso, Nahuel, et al.
Publicado: (2022) -
Image dataset for benchmarking automated fish detection and classification algorithms
por: Francescangeli, Marco, et al.
Publicado: (2023) -
Global dataset of species-specific inland recreational fisheries harvest for consumption
por: Embke, Holly S., et al.
Publicado: (2022) -
A Dataset with Multibeam Forward-Looking Sonar for Underwater Object Detection
por: Xie, Kaibing, et al.
Publicado: (2022)