The LOKI underwater imaging system and an automatic identification model for the detection of zooplankton taxa in the Arctic Ocean
Abstract We deployed the Lightframe On-sight Keyspecies Investigation (LOKI) system, a
novel underwater imaging system providing cutting-edge imaging quality, in the Canadian
Arctic during fall 2013. A Random Forests machine learning model was built to automatically
identify zooplankton in LOKI images. The model successfully distinguished between 114
different categories of zooplankton and particles. The high resolution taxonomical tree
included many species, stages, as well as sub-groups based on animal orientation or …
novel underwater imaging system providing cutting-edge imaging quality, in the Canadian
Arctic during fall 2013. A Random Forests machine learning model was built to automatically
identify zooplankton in LOKI images. The model successfully distinguished between 114
different categories of zooplankton and particles. The high resolution taxonomical tree
included many species, stages, as well as sub-groups based on animal orientation or …
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