Walkway Segmentation Dataset

The Walkway Segmentation Dataset is crafted to enhance the safety and efficiency of autonomous driving systems by focusing on the accurate identification and segmentation of pedestrian walkways. This dataset, containing images from driving recorders, is crucial for training AI models to distinguish between drivable areas and pedestrian zones. By segmenting pedestrian walking areas through both instance and binary segmentation techniques, it provides a critical resource for developing autonomous vehicles that can safely navigate urban environments.

步行道分割数据集旨在通过专注于对行人步行道的精确识别与分割，以提升自动驾驶系统的安全性与效率。该数据集收录了行车记录仪所捕捉的图像，对于训练 AI 模型以区分可行驶区域与行人区域至关重要。通过运用实例分割与二值分割技术对行人步行区域进行分割，该数据集为开发能够在城市环境中安全导航的自动驾驶车辆提供了至关重要的资源。