PPE (Personal Protective Equipment) Detection

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Keyword:

Dataset

2023 NVIDIA AI CITY CHALLENGE, Track 5 (motorcyclists): 100 videos for training; 100 videos for testing; 20s length; 10 fps; 1920x1080 pixels.

Z. Zeng, Z. Zhang, and Y. Liu, "Helmet enforcement using computer vision techniques", in Proceedings of the 2006 International Conference on Image Processing, pages 453– 456. IEEE, 2006.
M. Ashvini, G. Revathi, B. Yogameena, and S. Saravanaperumaal, "View invariant motorcycle detection for helmet wear analysis in intelligent traffic surveillance", In Proceedings of International Conference on Computer Vision and Image Processing: CVIP 2016, Volume 2, pages 175–185. Springer, 2017.
F. Wu, G. Jin, M. Gao, H. Zhiwei, and Y. Yang, "Helmet detection based on improved yolo v3 deep model", In 2019 IEEE 16th International conference on networking, sensing and control (ICNSC), pages 363–368. IEEE, 2019.
H. Wu and J. Zhao, "An intelligent vision-based approach for helmet identification for work safety", Computers in Industry, 100:267–277, 2018.
W. Jia, S. Xu, Z. Liang, Y. Zhao, H. Min, S. Li, and Y. Yu, "Real-time automatic helmet detection of motorcyclists in urban traffic using improved yolov5 detector", IET Image Processing, 15(14):3623–3637, 2021.
F. Zhou, H. Zhao, and Z. Nie, "Safety helmet detection based on yolov5", In 2021 IEEE International conference on power electronics, computer applications (ICPECA), pages 6–11. IEEE, 2021.

Y. Zhang, T. Liu, and L. Shao, "Deep learning based realtime helmet enforcement system", In Proceedings of the 2017 ACM on Multimedia Conference, pages 1057–1065. ACM, 2017.
R. Cheng, X. He, Z. Zheng, and Z. Wang, "Multi-scale safety helmet detection based on sasyolov3-tiny", Applied Sciences, 11(8):3652, 2021.
L. Deng, H. Li, H. Liu, and J. Gu, "A lightweight yolov3 algorithm used for safety helmet detection", Scientific reports, 12(1):10981, 2022.
H. Song, "Multi-scale safety helmet detection based on rsse-yolov3", Sensors, 22(16):6061, 2022.
F. Wu, G. Jin, M. Gao, H. Zhiwei, and Y. Yang, "Helmet detection based on improved yolo v3 deep model", In 2019 IEEE 16th International conference on networking, sensing and control (ICNSC), pages 363–368. IEEE, 2019.
J. Huang, X. Liu, and M. Yang, "Real-time helmet enforcement using deep learning", In Proceedings of the 2018 ACM on Multimedia Conference, pages 1793–1801. ACM, 2018.
R. Gogoi and A. Bora, "Real-time helmet enforcement system using computer vision and deep learning", Journal of Ambient Intelligence and Humanized Computing, 12(1):65, 2021.

[Few-shot Data Sampling] A. Aboah, B. Wang, U. Bagci, and Y. Adu-Gyamfi, "Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 5350-5358, 2023. (AI CITY CHALLENGE - TRACK 5)

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