Pole Detection Dataset

该数据集包含了一系列用于杆状物体检测的图像及其标注，其中包括为了训练目的而手动标注的杆子和自动标注的图像。数据集涵盖了各种交通状况和光照条件，特别关注自动驾驶应用中的基于杆状物体。规模上，该数据集包含了939张图像，其中手动标注了2846个杆子，以及5391张自动标注的图像。所涉及的任务是物体检测。

This dataset contains a collection of images and their corresponding annotations for rod-shaped object detection, encompassing poles manually annotated for training purposes as well as automatically annotated images. The dataset spans various traffic conditions and lighting environments, with a special focus on rod-shaped objects for autonomous driving applications. In terms of scale, the dataset consists of 939 images containing 2846 manually annotated poles, alongside 5391 automatically annotated images. The core task addressed by this dataset is object detection.