Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 17, 2026Scientific ReportsOpen Access

High accuracy and lightweight surface defect detection of metal strips based on improved YOLOv5s

View Full Paper
Ask AI
Bookmark
Share

Authors

LPLifang PanMCManman ChenGLGuangming Liu

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Pan et al. (2026) studied this question.

synapsesocial.com/papers/6aabb6b55f706d05830e5441https://doi.org/10.1038/s41598-026-71705-w
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1YOLO-ADS: An Improved YOLOv8 Algorithm for Metal Surface Defect Detection2024 · 27 citations
  2. 2SDD-YOLO: A Lightweight, High-Generalization Methodology for Real-Time Detection of Strip Surface Defects2024 · 21 citations
  3. 3Usage of an improved YOLOv5 for steel surface defect detection2024 · 4 citations
  4. 4MLS-YOLOv11: a strip steel surface defect detection model based on multi-layer feature fusion and shared convolution2025 · 7 citations
  5. 5An Improved YOLOv11 Algorithm for Metal Surface Defect Detection2026