辽宁省高速公路路面多模态病害检测数据集

该数据集主要包含辽宁省高速公路路面各类病害的检测与评估数据，用于支持公路智能化养护管理。数据集通过采集路面损坏信息，可实现对裂缝、坑槽、车辙等常见病害的自动识别与分类，并提供病害严重程度分析、养护优先级评估等功能，为公路养护部门提供科学决策依据。数据集的应用有助于构建智能巡检系统，提升道路状况监测效率，优化养护资源配置，推动公路养护管理向数字化、智能化方向发展。

This dataset primarily comprises detection and evaluation data for various pavement distresses on expressways within Liaoning Province, aiming to support intelligent highway maintenance and management. By acquiring pavement damage information, it enables automatic identification and classification of common distresses such as cracks, potholes and rutting, and offers functionalities including distress severity analysis and maintenance priority evaluation, providing scientific decision-making support for highway maintenance authorities. The deployment of this dataset facilitates the construction of intelligent inspection systems, enhances the efficiency of road condition monitoring, optimizes the allocation of maintenance resources, and promotes the transformation of highway maintenance and management toward digitization and intelligence.

搜集汇总

背景与挑战

背景概述

该数据集聚焦辽宁省高速公路路面病害检测，包含裂缝、坑槽、车辙等多模态病害的识别与分类数据，支持严重程度分析和养护优先级评估。其应用旨在提升公路养护管理的数字化和智能化水平，为智能巡检系统提供科学决策依据。