RoadRuttingDatasetSekilab
收藏NIAID Data Ecosystem2026-03-14 收录
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https://data.mendeley.com/datasets/v8mbnvx8pv
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资源简介:
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 .
道路车辙(Road rutting)是一种严重的路面病害,会导致路面过早破损,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路面损伤检测研究得到了广泛开展。然而,此类研究大多聚焦于裂缝、坑槽及其衍生病害的检测,针对道路车辙检测的相关研究则寥寥无几。本数据集为一款新型道路车辙数据集,包含949张图像,并同时提供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
创建时间:
2022-11-04



