BSTLD

该数据集是为了训练基于YoloV3的交通信号灯检测器而设计的，重点在于识别各种条件下交通信号灯的位置。此外，该数据集还被用于评估在面对通用补丁时的鲁棒性，实验中采用了诸如平均精度均值（mAP）和平均召回率（mR）等特定指标。该数据集包含了不同分辨率的图像（1280x704），其任务是对目标进行检测。

This dataset is designed for training a traffic light detector based on YOLOv3, focusing on identifying the positions of traffic lights under diverse scenarios. Furthermore, this dataset is also utilized to evaluate the robustness against universal adversarial patches, with specific metrics including mean Average Precision (mAP) and mean Recall (mR) adopted in the experiments. This dataset contains images with a resolution of 1280×704, and its associated task is object detection.