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Small target detection in UAV view based on improved YOLOv8 algorithm

Small target detection in UAV view based on improved YOLOv8 algorithm

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ce32d485bea540f5b5dabc502a2464cc

Small target detection in UAV view based on improved YOLOv8 algorithm

About this item

Full title

Small target detection in UAV view based on improved YOLOv8 algorithm

Author / Creator

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2025-01, Vol.15 (1), p.421-14, Article 421

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

The main challenges faced when detecting targets captured by UAVs include small target image size, dense target distribution, and uneven category distribution.In addition, the hardware limitations of UAVs impose constraints on the size and complexity of the model, which may lead to poor detection accuracy of the model. In order to solve these probl...

Alternative Titles

Full title

Small target detection in UAV view based on improved YOLOv8 algorithm

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ce32d485bea540f5b5dabc502a2464cc

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ce32d485bea540f5b5dabc502a2464cc

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-84747-9

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