Road Scene Semantic Segmentation Dataset
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资源简介：
The Road Scene Semantic Segmentation Dataset is specifically designed for autonomous driving applications, featuring a collection of internet-collected images with a standard resolution of 1920 x 1080 pixels. This dataset is focused on semantic segmentation, aiming to accurately segment various elements of road scenes such as the sky, buildings, lane lines, pedestrians, and more, to support the development of advanced driver-assistance systems (ADAS) and autonomous vehicle technologies.
《道路场景语义分割数据集》专为自动驾驶应用量身定制，集成了网络搜集的1920 x 1080像素标准分辨率图像。本数据集专注于语义分割技术，旨在精确分割道路场景中的各种元素，包括天空、建筑、车道线、行人等，以助力高级驾驶辅助系统（ADAS）及自动驾驶技术的研发。
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