Robots Versus Humans: Automated Annotation Accurately Quantifies Essential Ocean Variables of Rocky Intertidal Functional Groups and Habitat State.
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Standardized methods for effectively and rapidly monitoring changes in the biodiversity of marine ecosystems are critical to assess status and trends in ways that are comparable between locations and over time. In intertidal and subtidal habitats, estimates of fractional cover and abundance of organisms are typically obtained with traditional quadrat-based methods, and collection of photoquadrat imagery is a standard practice. However, visual analysis of quadrats, either in the field or from photographs, can be very time-consuming. Cutting-edge machine learning tools are now being used to annotate species records from photoquadrat imagery automatically, significantly reducing processing time of image collections. However, it is not always clear whether information is lost, and if so to what degree, using automated approaches. In this study, we compared results from visual quadrats versus automated photoquadrat assessments of macroalgae and sessile organisms on rocky shores a.....
JournalFrontiers in Marine Science
Sustainable Development Goals (SDG)14.a
Essential Ocean Variables (EOV)Macroalgal canopy cover and composition
Invertebrate abundance and distribution
CitationBravo, G., Moity, N., Londoño-Cruz, E., Muller-Karger, F., Bigatt,i G., Klein, E., Choi, F., Parmalee, L., Helmuth, B. and Montes, E. (2021) Robots Versus Humans: Automated Annotation Accurately Quantifies Essential Ocean Variables of Rocky Intertidal Functional Groups and Habitat State. Frontiers in Marine Science, 8:691313, 12pp. DOI: 10.3389/fmars.2021.691313
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