RoadRuttingDatasetSekilab

Road rutting is a severe road distress that can cause premature failure of road incurring early and costly maintenance costs. Research on road damage detection using image processing techniques and deep learning is being actively conducted in the past few years. However, these researches are mostly focused on detection of cracks, potholes, and their variants. Very few research has been done on the detection of road rutting. This dataset presents a novel road rutting dataset comprising of 949 images and provides both object level and pixel level annotations. For more information on experiments conducted on this dataset, please refer to the article at https://www.researchgate.net/publication/363920770_Road_Rutting_Detection_using_Deep_Learning_on_Images .车辙（road rutting）是一种严重的道路病害，可导致道路提前失效，进而产生高昂的早期养护成本。近年来，基于图像处理技术与深度学习的道路病害检测研究得到了广泛开展。然而，此类研究大多聚焦于裂缝、坑槽及其变体病害的检测，针对车辙检测的研究则寥寥无几。本数据集构建了一个全新的车辙数据集，共包含949张图像，并提供了目标级与像素级两类标注。如需了解基于本数据集开展的实验的更多细节，请参阅该论文：https://www.researchgate.net/publication/363920770_Road_Rutting_Detection_using_Deep_Learning_on_Images

搜集汇总

背景与挑战

背景概述

RoadRuttingDatasetSekilab是一个专注于道路车辙检测的数据集，包含949张图像，并提供对象级别和像素级别的标注。该数据集旨在填补当前道路损伤检测研究中车辙检测的不足，支持基于深度学习的图像处理应用。