Trained Improved-YOLOv7 Models' Weights for weed detection
best_yolov7.pt This file contains the trained weights of the baseline YOLOv7 model for weed and cotton detection from UAV imagery, representing the best-performing checkpoint based on mAP@0.5 evaluation.
Das, Anindita
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The quality control in the textile manufacturing industry involves identifying fabric defects. The differences in cloth texture and the limited number of damaged samples are also major problems when it comes to the correct identification of faults in ...
J. Avanija, Suresh Kumar
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CBTi-YOLOv5: Improved YOLOv5 with CBAM, Transformer, and BiFPN for Real-Time Safety Helmet Detection
Background: Some construction workers are often in a situation where injuries can occur from negligence in the use of safety helmets. To avoid this, supervision of the use of safety helmets should be conducted continuously during the work process through
Hidayat, Muhamad Arief +3 more
core
Student Behavior Recognition in the Classroom Based on Hyper-YOLO. [PDF]
Sensors (Basel)Sun J, Wang J, Yu M.
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EBiDNet: A Character Detection Algorithm for LCD Interfaces Based on an Improved DBNet Framework
Characters on liquid crystal display (LCD) interfaces often appear densely arranged, with complex image backgrounds and significant variations in target appearance, posing considerable challenges for visual detection.
Yinchuan Wu, Zhengguo Yan, Kun Wang
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YOLO-CBNet: A robust attention-enhanced detection framework for underwater fish recognition in aquaculture environments. [PDF]
PLoS OneHamzaoui M +4 more
europepmc +1 more source
Intelligent Corrosion Sensing and Detection for Aerospace Ground Equipment: A YOLOv11-Based Framework with Shallow Attention and Bidirectional Feature Fusion. [PDF]
Sensors (Basel)Fang F, Sun D, Geng M, Qu Z, Gu S.
europepmc +1 more source
FBENet: A Highway Road Debris Detection Network Based on Frequency-Aware Bidirectional Feature Fusion and Efficient Attention Enhancement. [PDF]
Sensors (Basel)Chen Y +4 more
europepmc +1 more source
Traffic sign detection is a core function of autonomous driving systems, requiring real-time and accurate target recognition in complex road environments.
Chen Xing, Haoran Sun, Jiafu Yang
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MCM-YOLO: A Lightweight Conflict Mitigation Network for Industrial Metal Surface Defect Detection. [PDF]
Sensors (Basel)Zhang S, He K, Xu J, Sha H, Chen Z.
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