Walkway Segmentation Dataset

Welcome to the fascinating world of autonomous driving, powered by our rich and diverse datasets. These datasets, meticulously curated and annotated, are the lifeblood of the self-driving car industry, fueling advancements across various domains.

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.