Long Lane Line Contour 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 "Long Lane Line Contour Segmentation Dataset" is a specialized resource aimed at enhancing the precision of lane detection systems in autonomous vehicles. Compiled from internet-collected images with resolutions surpassing 640 x 512 pixels, this dataset focuses on the contour segmentation of various lane lines, including double yellow lines, single lines, and other common types found on roads. By providing detailed contour segmentation of lane lines under diverse road conditions, this dataset aids in the development of more advanced algorithms for lane detection and vehicle navigation systems, critical for the safety and efficiency of autonomous driving.