Precision-recall curves.

Precision-recall curves.

<p>Models trained with labels queen/king/dead (left) and queen/surface king/buried, king/dead (right). Red dots show precision-recall trade-off with the best F1 score for each class.</p>

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Bibliographic Details
Main Author:	Leander Harlow (21799824) (author)
Other Authors:	Katja Ovchinnikova (8669805) (author), Mark James (816994) (author)
Published:	2025
Subjects:	Ecology Marine Biology Inorganic Chemistry Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified scallop stock assessments scallop stock abundance mean average precision larger annotated datasets increasing sample sizes including underwater imaging great atlantic scallop fishable using dredges enhanced marine conservation despite moderate results also potentially destructive >), ranks third previous ai studies ai ), specifically underwater video transects standardised camera systems custom camera systems sustainable fisheries management natural marine habitats marine habitat monitoring optimising data collection improved data acquisition pecten maximus </ div >< p king scallop (< maximus </ natural habitat ai model towed video scallops (< camera specifications camera platforms uk fisheries natural presentation habitat types fisheries surveys data automatically viame toolkit usually recessed uk ’ traditionally rely tools available three categories study explores study emphasises research applies recent decades neural network netharn model image quality
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