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Article

YOLOv8s-DDA: An Improved Small Traffic Sign Detection Algorithm Based on YOLOv8s

School of Electronic Information Engineering, China West Normal University, Nanchong 637001, China
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Author to whom correspondence should be addressed.
Electronics 2024, 13(18), 3764; https://doi.org/10.3390/electronics13183764
Submission received: 17 August 2024 / Revised: 13 September 2024 / Accepted: 19 September 2024 / Published: 22 September 2024

Abstract

In the realm of traffic sign detection, challenges arise due to the small size of objects, complex scenes, varying scales of signs, and dispersed objects. To address these problems, this paper proposes a small object detection algorithm, YOLOv8s-DDA, for traffic signs based on an improved YOLOv8s. Specifically, the C2f-DWR-DRB module is introduced, which utilizes an efficient two-step method to capture multi-scale contextual information and employs a dilated re-parameterization block to enhance feature extraction quality while maintaining computational efficiency. The neck network is improved by incorporating ideas from ASF-YOLO, enabling the fusion of multi-scale object features and significantly boosting small object detection capabilities. Finally, the original IoU is replaced with Wise-IoU to further improve detection accuracy. On the TT100K dataset, the YOLOv8s-DDA algorithm achieves mAP@0.5 of 87.2%, mAP@0.5:0.95 of 68.3%, precision of 85.2%, and recall of 80.0%, with a 5.4% reduction in parameter count. The effectiveness of this algorithm is also validated on the publicly available Chinese traffic sign detection dataset, CCTSDB2021.
Keywords: object detection; YOLOv8; small object detection; traffic signs object detection; YOLOv8; small object detection; traffic signs

Share and Cite

MDPI and ACS Style

Niu, M.; Chen, Y.; Li, J.; Qiu, X.; Cai, W. YOLOv8s-DDA: An Improved Small Traffic Sign Detection Algorithm Based on YOLOv8s. Electronics 2024, 13, 3764. https://doi.org/10.3390/electronics13183764

AMA Style

Niu M, Chen Y, Li J, Qiu X, Cai W. YOLOv8s-DDA: An Improved Small Traffic Sign Detection Algorithm Based on YOLOv8s. Electronics. 2024; 13(18):3764. https://doi.org/10.3390/electronics13183764

Chicago/Turabian Style

Niu, Meiqi, Yajun Chen, Jianying Li, Xiaoyang Qiu, and Wenhao Cai. 2024. "YOLOv8s-DDA: An Improved Small Traffic Sign Detection Algorithm Based on YOLOv8s" Electronics 13, no. 18: 3764. https://doi.org/10.3390/electronics13183764

APA Style

Niu, M., Chen, Y., Li, J., Qiu, X., & Cai, W. (2024). YOLOv8s-DDA: An Improved Small Traffic Sign Detection Algorithm Based on YOLOv8s. Electronics, 13(18), 3764. https://doi.org/10.3390/electronics13183764

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