A framework for the development of a global standardised marine taxon reference image database (SMarTaR-ID) to support image-based analyses

KL Howell, JS Davies, AL Allcock, A Braga-Henriques… - PloS one, 2019 - journals.plos.org
Video and image data are regularly used in the field of benthic ecology to document
biodiversity. However, their use is subject to a number of challenges, principally the …

Recommendations for the standardisation of open taxonomic nomenclature for image-based identifications

T Horton, L Marsh, BJ Bett, AR Gates… - Frontiers in Marine …, 2021 - frontiersin.org
This paper recommends best practice for the use of open nomenclature (ON) signs
applicable to image-based faunal analyses. It is one of numerous initiatives to improve …

A standardised vocabulary for identifying benthic biota and substrata from underwater imagery: the CATAMI classification scheme

F Althaus, N Hill, R Ferrari, L Edwards, R Przeslawski… - PloS one, 2015 - journals.plos.org
Imagery collected by still and video cameras is an increasingly important tool for minimal
impact, repeatable observations in the marine environment. Data generated from imagery …

[HTML][HTML] PAPARA (ZZ) I: An open-source software interface for annotating photographs of the deep-sea

Y Marcon, A Purser - SoftwareX, 2017 - Elsevier
Abstract PAPARA (ZZ) I is a lightweight and intuitive image annotation program developed
for the study of benthic megafauna. It offers functionalities such as free, grid and random …

[PDF][PDF] CATAMI Classification Scheme for scoring marine biota and substrata in underwater imagery—A pictorial guide to the Collaborative and Annotation Tools for …

F Althaus, N Hill, L Edwards, R Ferrari, M Case… - Version …, 2013 - researchgate.net
Background This document provides definitions and examples for the categories described
in Version 1.2 of the CATAMI Classification Scheme for marine biota and substrata in …

Australian sea-floor survey data, with images and expert annotations

M Bewley, A Friedman, R Ferrari, N Hill, R Hovey… - Scientific data, 2015 - nature.com
This Australian benthic data set (BENTHOZ-2015) consists of an expert-annotated set of
georeferenced benthic images and associated sensor data, captured by an autonomous …

Discovering marine biodiversity in the 21st century

AD Rogers, W Appeltans, J Assis, LT Ballance… - Advances in Marine …, 2022 - Elsevier
We review the current knowledge of the biodiversity of the ocean as well as the levels of
decline and threat for species and habitats. The lack of understanding of the distribution of …

[HTML][HTML] Automated classification of fauna in seabed photographs: The impact of training and validation dataset size, with considerations for the class imbalance

JM Durden, B Hosking, BJ Bett, D Cline… - Progress in …, 2021 - Elsevier
Abstract Machine learning is rapidly developing as a tool for gathering data from imagery
and may be useful in identifying (classifying) visible specimens in large numbers of seabed …

How Aphia—the platform behind several online and taxonomically oriented databases—can serve both the taxonomic community and the field of biodiversity …

L Vandepitte, B Vanhoorne, W Decock… - Journal of Marine …, 2015 - mdpi.com
The Aphia platform is an infrastructure designed to capture taxonomic and related data and
information, and includes an online editing environment. The latter allows easy access to …

Integrating information on marine species identification for fishery purposes

J Lleonart, M Taconet, M Lamboeuf - Marine Ecology Progress Series, 2006 - int-res.com
Species identification for fishery purposes has been the subject of a major Food and
Agriculture Organization (FAO) program since the 1960s. One of the main objectives is to …