Line-YOLO: An Efficient Detection Algorithm for Power Line Angle
Line-YOLO: An Efficient Detection Algorithm for Power Line Angle
About this item
Full title
Author / Creator
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
Aiming at the problem that the workload of human judgment of the power line tilt angle is large and prone to large errors, this paper proposes an improved algorithm Line-YOLO based on YOLOv8s-seg. Firstly, the problem of the variable shape of the power line is solved through the introduction of deformable convolutional DCNv4, and the detection accu...
Alternative Titles
Full title
Line-YOLO: An Efficient Detection Algorithm for Power Line Angle
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_a15316d80df84e58a31f19150d2e536b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a15316d80df84e58a31f19150d2e536b
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s25030876