Automated video identification of marine species (AVIMS) - new application: report

Mackiewicz, Michal ORCID: https://orcid.org/0000-0002-8777-8880, French, Geoffrey and Fisher, Mark (2023) Automated video identification of marine species (AVIMS) - new application: report. Scottish Marine and Freshwater Science, 14 (7). Scottish Government Marine Directorate. ISBN 978-1-83521-505-0

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Abstract

A commissioned report on the development of a web-based computer application for machine learning-based (semi-)automated analysis of underwater video footage obtained during the monitoring of aquatic environments.

Item Type: Book
Uncontrolled Keywords: sdg 14 - life below water ,/dk/atira/pure/sustainabledevelopmentgoals/life_below_water
Faculty \ School: Faculty of Science > School of Computing Sciences
UEA Research Groups: Faculty of Science > Research Groups > Colour and Imaging Lab
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Depositing User: LivePure Connector
Date Deposited: 24 Nov 2023 01:32
Last Modified: 24 Nov 2023 01:32
URI: https://ueaeprints.uea.ac.uk/id/eprint/93727
DOI:

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