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Automating the Analysis of Fish Abundance Using Object Detection: Optimizing Animal Ecology With Deep Learning
2020
Frontiers in Marine Science
Aquatic ecologists routinely count animals to provide critical information for conservation and management. Increased accessibility to underwater recording equipment such as action cameras and unmanned underwater devices has allowed footage to be captured efficiently and safely, without the logistical difficulties manual data collection often presents. It has, however, led to immense volumes of data being collected that require manual processing and thus significant time, labor, and money. The
doi:10.3389/fmars.2020.00429
fatcat:4bzybb4j3fcvzbsdtwddzewsci