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A Modified YOLOv8 Detection Network for UAV Aerial Image Recognition

A Modified YOLOv8 Detection Network for UAV Aerial Image Recognition

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_659ed57904a245c18dfc90e77afc63a2

A Modified YOLOv8 Detection Network for UAV Aerial Image Recognition

About this item

Full title

A Modified YOLOv8 Detection Network for UAV Aerial Image Recognition

Publisher

Basel: MDPI AG

Journal title

Drones (Basel), 2023-05, Vol.7 (5), p.304

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

UAV multitarget detection plays a pivotal role in civil and military fields. Although deep learning methods provide a more effective solution to this task, changes in target size, shape change, occlusion, and lighting conditions from the perspective of drones still bring great challenges to research in this field. Based on the above problems, this...

Alternative Titles

Full title

A Modified YOLOv8 Detection Network for UAV Aerial Image Recognition

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_659ed57904a245c18dfc90e77afc63a2

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_659ed57904a245c18dfc90e77afc63a2

Other Identifiers

ISSN

2504-446X

E-ISSN

2504-446X

DOI

10.3390/drones7050304

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