YOLO-RDP: Lightweight Steel Defect Detection through Improved YOLOv7-Tiny and Model Pruning

G Zhang, S Liu, S Nie, L Yun - Symmetry, 2024 - mdpi.com
During steel manufacturing, surface defects such as scratches, scale, and oxidation can
compromise product quality and safety. Detecting these defects accurately is critical for …

Lightweight strip steel defect detection algorithm based on improved YOLOv7

J Lu, MM Yu, J Liu - Scientific reports, 2024 - nature.com
The precise identification of surface imperfections in steel strips is crucial for ensuring steel
product quality. To address the challenges posed by the substantial model size and …

AFF-YOLO: A Real-time Industrial Defect Detection method based on Attention Mechanism and Feature Fusion

M Mehta - 2023 - researchsquare.com
Steel, as a pivotal material in industrial society, demands stringent quality control to ensure
its structural integrity and safety. Surface defects in steel pose significant challenges to the …

Improvement of GBS-YOLOv7t for steel surface defect detection

L Liming, L Pengwei, L Baohe, L Renjie - Opto-Electronic Engineering, 2024 - oejournal.org
Given that small targets are predominant in the steel surface defect areas, most existing
methods cannot balance the trade-off between detection accuracy and speed. In this paper …

A Lightweight YOLOv7 Algorithm for Steel Surface Defect Detection

YT Zhou, JC Piao - 2023 IEEE 6th International Conference on …, 2023 - ieeexplore.ieee.org
There are many irresistible factors in steel production that will lead to the presence of slightly
different defects on the steel surface. Unlike conventional object detection methods, the …

DEW-YOLO: An Efficient Algorithm for Steel Surface Defect Detection

J Li, M Chen - Applied Sciences, 2024 - mdpi.com
To address the current steel surface defect detection algorithms in practical applications
involving low detection accuracy, an efficient and highly accurate strip steel surface defect …

YOLOv8-FCS: A more focused YOLOv8 model for defect detection in images of steel surface

B Hu, R Lu, D Wan, S Wang, J Yin - 2024 - researchsquare.com
Defect detection in steel surface is crucial for engineering quality control. Traditional
methods for detecting surface defects on steel materials have issues such as low detection …

YOLOv5s-DNF: A lighter and real-time method for detecting surface defects in steel

H Ding, B Xia - 2023 4th International Conference on Computer …, 2023 - ieeexplore.ieee.org
Defect detection plays a crucial role in ensuring the surface quality of steel, as it impacts
both downstream production and the overall quality of the final product. However …

Slim-YOLOv8: A fast and accurate algorithm for surface defect detection of steel strips

J Zhao, S Liu, H Tao, W Liu - Ironmaking & Steelmaking, 2024 - journals.sagepub.com
Steel strip is an extremely important industrial material and is widely used in various
industrial fields. During the production process, surface defects need to be detected quickly …

WSS-YOLO: An improved industrial defect detection network for steel surface defects

M Lu, W Sheng, Y Zou, Y Chen, Z Chen - Measurement, 2024 - Elsevier
Surface defects in steel manufacturing can compromise product quality and safety. Detecting
these diverse and complex defects under industrial conditions is challenging. This paper …