Street Scene Parsing

Street Scene Parsing is an important task in the field of computer vision, aiming to accurately identify and classify various elements in street scene images through image segmentation techniques. The goal of this task is to assign each pixel in the image to a predefined category, such as road, pedestrian, vehicle, building, etc., thereby constructing a detailed understanding of the scene. Street Scene Parsing has significant application value in areas like autonomous driving, urban planning, traffic management, and intelligent surveillance, providing crucial data support and decision-making references.