Water column sonar data collected by echosounders are essential for marine ecosystem research, allowing the detection, classifi cation, and quantification of fish and zooplankton from many different ocean observing platforms. However, broad usage of …
Successful application of machine learning (ML) methodology requires iterative development and testing of not only the models but also the entire workflow on the very platform and operating scenario the development aims to serve, before the framework …
Acoustic fisheries surveys and ocean observing systems collect terabytes of echosounder data that require custom processing pipelines to obtain biological estimates of target species, which often can be hard to reuse or adapt. There is a rising need …