Safety Helmet Detection Based on Improved YOLOv8-Reference-Cited by-同舟云学术

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Safety Helmet Detection Based on Improved YOLOv8

Published:2024 Issue: Volume:12 Page:28260-28272
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lin Bingyan¹^ORCID

Affiliation:

1. Fujian Polytechnic of Information Technology, Fuzhou, China

Funder

Research Project of Fujian Polytechnic of Information Technology

Key Research Project of Fujian Polytechnic of Information Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10440621.pdf?arnumber=10440621

Reference38 articles.

1. Safety Helmet Detection Based on YOLOv5

2. Detection algorithm of safety helmet wearing based on deep learning

3. A review on various methodologies used for vehicle classification, helmet detection and number plate recognition

4. Real-Time Safety Helmet Detection Using Yolov5 at Construction Sites

5. Automatic detection of bike-riders without helmet using surveillance videos in real-time

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1. YOLO-BGS Optimizes Textile Production Processes: Enhancing YOLOv8n with Bi-Directional Feature Pyramid Network and Global and Shuffle Attention Mechanisms for Efficient Fabric Defect Detection;Sustainability;2024-09-11

2. Cotton-YOLO-Seg: An Enhanced YOLOV8 Model for Impurity Rate Detection in Machine-Picked Seed Cotton;Agriculture;2024-09-02

3. ALF-YOLO: Enhanced YOLOv8 based on multiscale attention feature fusion for ship detection;Ocean Engineering;2024-09

4. Streamlining YOLOv7 for Rapid and Accurate Detection of Rapeseed Varieties on Embedded Device;Sensors;2024-08-28

5. Research on Pupil Center Localization Detection Algorithm with Improved YOLOv8;Applied Sciences;2024-07-30

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