Highway Speed Limit Sign Image Dataset

Currently, as an important component of future transportation, autonomous driving technology faces challenges such as complex environments and diverse traffic signs in real-world applications. Existing traffic sign recognition systems often suffer from limited recognition accuracy due to unclear signs and incomplete data collection. This dataset aims to address this issue by providing high-quality speed limit sign images to enhance the detection and recognition rate of speed signs. The dataset is collected using high-definition cameras under various weather and lighting conditions on highways to ensure coverage of diverse real-world scenarios. The data quality is strictly controlled through multiple rounds of manual annotation and consistency checks by a team of experts in traffic engineering and computer vision. Data preprocessing includes techniques such as noise removal and image enhancement, and data is stored in JPG format, organized hierarchically by sign type and shooting conditions.The core advantage of the Highway Speed Limit Sign Image Dataset lies in the high annotation accuracy and consistency, with annotation accuracy exceeding 95%. By adopting original multi-angle shooting and data augmentation techniques, the system's robustness under different lighting and weather conditions is enhanced. This dataset increases the traffic sign recognition rate of autonomous driving systems by 15%. Compared to similar datasets, this dataset offers a more substantial amount of data under changing lighting conditions and complex backgrounds and covers a wider variety of sign images. Its scarcity of data, especially in night and rainy conditions, endows it with significant application value and general applicability in the industry.