… , the results of traditional traffic sign detection technology are not … two novel traffic sign
detection models, called YOLOv5-DH and YOLOv5-TDHSA, based on the YOLOv5s model …

… accuracy and speed cannot be well balanced, this research illustrates a new YOLOv5
algorithm that improves traffic sign recognition. The main contributions of this paper are as follows: …

… To verify the superiority of the traffic sign detection method proposed in this paper based on
yolov5-SwinT and the effectiveness of each component. This section describes the source of …

… In this paper, a YOLOv5-based traffic sign recognition model was proposed, which can
locate road traffic signs in a real environment, attain a very quick speed, and give accurate …

… a novel model called Traffic Sign Yolo (TS-Yolo) based on … improve the detection and
recognition accuracy of traffic signs, … , a new traffic sign recognition method based on YoloV5 was …

… model is much suitable for the TSR between YOLOv5 and SSD. In this experiment, we adopt
a customized dataset of our traffic signs, which contains 2,182 traffic sign … experiment based …

… This paper proposes several improvement strategies based on YOLOv5s for traffic sign
detection. Firstly, we used the K-means clustering approach to generate appropriate anchor …

… at the traffic sign detection and recognition in complex road conditions. We proposed a …
model for traffic sign detection and recognition. There are a few difficulties in traffic sign detection …

… In this paper, we proposed a real-time traffic sign detection network based on modified
YOLOv5s, which achieves better detection performance than state-of-the-art one-stage …

… In this paper, we propose several improvements to YOLOv5 for traffic sign detection. First, …
, which in turn improves the detection of traffic signs of different sizes. Second, we embed the …