LaneVisionIITR

"LaneVisionIITR: A Comprehensive High-Resolution Dataset for Lane Detection recorded at IIT Roorkee ", which is a newly built high-resolution dataset for developing Lane detection dataset for advanced driver assistance systems. This folder consists of three files for each image: 1. The image captured in .jpg format.2. Annotations (.json) having left and center line coordinates represented as “L” and “C” respectively.3. The mask image with dots (.jpg) representing two points of the left and two points of center coordinates. Note: The right lane is not considered for annotations since the dataset is prepared for ego-lane line analysis.Total images: Dataset contains 1000 images in .jpg format.Annotation: All the images are precisely annotated.Scenes: Day and night conditions.Tasks: It can be used for training as well as testing the Lane detection algorithm for advanced driver assistance systems. High resolution: Image resolution is 1920 X 1080 pixels.Diversity: A large variation in appearance, scale, and illumination.LaneVisionIITR：印度理工学院罗尔基分校（IIT Roorkee）采集的面向车道检测的综合高分辨率数据集。本数据集为新建高分辨率数据集，旨在为高级驾驶辅助系统开发车道检测算法。 每张图像对应三个配套文件： 1. .jpg格式的原始采集图像； 2. .json格式标注文件，其中左侧车道线与中心车道线的坐标分别以"L"和"C"标识； 3. 带标记点的.jpg格式掩码图像，分别标注左侧车道线的两个坐标点与中心车道线的两个坐标点。 注：由于本数据集专为自车道线（ego-lane line）分析构建，因此未对右侧车道线进行标注。 图像总量：本数据集共包含1000张.jpg格式图像。 标注质量：所有图像均经过精准标注。 场景覆盖：涵盖日间与夜间两种光照场景。 适用任务：可用于训练与测试面向高级驾驶辅助系统的车道检测算法。 高分辨率特性：图像分辨率为1920×1080像素。 数据多样性：在场景外观、目标尺度与光照条件上具备丰富的变化性。

搜集汇总

背景与挑战

背景概述

LaneVisionIITR是一个专为车道检测设计的高分辨率数据集，包含1000张1920x1080像素的图像，覆盖白天和夜间场景，并附带精确的车道线标注（左车道线和中心车道线）。该数据集主要用于高级驾驶辅助系统（ADAS）的算法训练和测试，具有多样化的外观和光照条件，但仅关注自车道分析，未标注右车道线。