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Report . 2023
License: CC BY
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Data Study Group Final Report: CEFAS - Automated identification of sea pens using OpenCV and machine learning

Authors: Data Study Team Group;

Data Study Group Final Report: CEFAS - Automated identification of sea pens using OpenCV and machine learning

Abstract

Data Study Groups are week-long events at The Alan Turing Institute bringing together some of the country’s top talent from data science, artificial intelligence, and wider fields, to analyse real-world data science challenges. Sea pens are colonial animals closely related to the corals that live attached to the sea floor. They generally form a feather-shaped colony with a horny skeleton. They respond to multiple human interventions (contamination and human waste, fishing, boats, etc.) and therefore they are an indicator of the health of their ecosystem. Sea pen communities are Vulnerable Marine Ecosystems (VMEs), which have been proposed as indicators of good conservation status for mud habitats. The goal of this challenge is to study their distribution and abundance, so their presence can be used to evaluate whether the seabed is exposed to good water quality and is undamaged by fishing gear.

https://www.turing.ac.uk/events/data-study-group-december-2022

Keywords

Sea Pens, CEFAS, Machine learning, OpenCV, Automated identification, Data Study Group, The Alan Turing Institute

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    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green