Numerous technology systems have emerged in recent years that have been designed to identify a car's surroundings. Understanding the scene around our surroundings turns out to be an important area of research for analyzing the geometry of scenes and the associated objects in the surroundings. CNNs have proved to be the most effective vision computing tool in image classification, object detection, and semantic segmentation. In an automated environment, it is important to make some critical decisions in order to understand a given scene in the surroundings at the pixel level. Semantic segmentation has proven to be one of the most effective methods of assigning labels to individual pixels in an image.
Researchers have proposed numerous ways for semantic pixel-wise labeling; some approaches have tried deep architecture pixel-wise labeling, and the results have been impressive. Since segmentation at the pixel level provides better...
