Pedestrian Pathways.zip

This dataset consists of pedestrian walkway images collected across all 25 districts of Seoul, South Korea. The images were directly captured in real urban environments and are provided in raw format without annotations.The dataset is intended for flexible use, allowing researchers and practitioners to apply their own annotation strategies depending on their target objects of interest. Potential classes include, but are not limited to, pedestrians, cars, motorcycles, bicycles, trash, fire hydrants, trees, personal mobility devices (PM), billboards, and streetlights.By providing only the image files, this dataset offers users the freedom to design and implement customized labeling schemes and build machine learning or computer vision models tailored to diverse research and application needs.