Personal protective equipment detection using YOLOv8 architecture on object detection benchmark datasets: a comparative study-Reference-Cited by-同舟云学术

Personal protective equipment detection using YOLOv8 architecture on object detection benchmark datasets: a comparative study

Published:2024-04-12 Issue:1 Volume:11 Page:
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

Barlybayev Alibek¹²^ORCID,Amangeldy Nurzada¹^ORCID,Kurmetbek Bekbolat¹^ORCID,Krak Iurii³^ORCID,Razakhova Bibigul¹^ORCID,Tursynova Nazira¹^ORCID,Turebayeva Rakhila¹^ORCID

Affiliation:

1. Faculty of Information Technologies, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan

2. Higher School of Information Technology and Engineering, Astana International University, Astana, Kazakhstan

3. Faculty of Computer Science and Cybernetics, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311916.2024.2333209

Reference67 articles.

1. Adarsh, P., Rathi, P., & Kumar, M. (2020, March). YOLO v3-Tiny: Object detection and recognition using one stage improved model [Paper presentation]. 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS) (pp. 687–694). IEEE. https://doi.org/10.1109/ICACCS48705.2020.9074315

2. Akbarzadeh, M., Zhu, Z., & Hammad, A. (2020) Nested network for detecting PPE on large construction sites based on frame segmentation [Paper presentation]. Creative Construction e-Conference 2020 (pp. 33–38). Budapest University of Technology and Economics.

3. Construction Site Hazards Identification Using Deep Learning and Computer Vision

4. Avanzato, R., Beritelli, F., Russo, M., Russo, S., & Vaccaro, M. (2020). Yolov3-based mask and face recognition algorithm for individual protection applications. CEUR Workshop Proceedings. Volume 2768 (pp. 41–45). https://www.scopus.com/record/display.uri?eid=2-s2.0-85097903936&origin=inward&txGid=79805e76b928adf2df3aa196caa0bcd1

5. Real-time personal protective equipment monitoring system

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. EGS-YOLO: A Fast and Reliable Safety Helmet Detection Method Modified Based on YOLOv7;Applied Sciences;2024-09-05

2. Implementation of a convolutional network for detection of PPE in automotive repair services;2024 IEEE 6th Symposium on Computers & Informatics (ISCI);2024-08-10

3. Content annotation in images from outdoor construction jobsites using YOLO V8 and Swin transformer;Smart Construction and Sustainable Cities;2024-07-02