SD-YOLOv8: An Accurate Seriola dumerili Detection Model Based on Improved YOLOv8
SD-YOLOv8: An Accurate Seriola dumerili Detection Model Based on Improved YOLOv8
About this item
Full title
Author / Creator
Liu, Mingxin , Li, Ruixin , Hou, Mingxin , Zhang, Chun , Hu, Jiming and Wu, Yujie
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
Accurate identification of Seriola dumerili (SD) offers crucial technical support for aquaculture practices and behavioral research of this species. However, the task of discerning S. dumerili from complex underwater settings, fluctuating light conditions, and schools of fish presents a challenge. This paper proposes an intelligent recognition mode...
Alternative Titles
Full title
SD-YOLOv8: An Accurate Seriola dumerili Detection Model Based on Improved YOLOv8
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_b263f6ef363c4a1e8548e9677a60afea
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b263f6ef363c4a1e8548e9677a60afea
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s24113647
