北京市西城区市政道路病害检测图像数据集

本数据集专用于训练和优化针对北京市西城区市政道路路面状态的视觉识别模型，旨在智能、精准地识别辖区内道路（含附属设施）存在的六类典型病害问题：道路积水、裂缝、坑洞、沉陷/塌陷、边缘破损、龟裂。
应用目标为服务于西城区城市管理委员会、市政市容管理中心等部门的道路日常巡检、预防性养护与应急维修工作。通过将AI识别模型集成于智慧城管平台，实现对管辖范围内城市主干道、辅路、胡同街巷等区域的7x24小时自动化监测。具体流程为：系统自动发现病害 -> 平台生成工单并派发 -> 养护单位现场处置 -> 核查验收结案。该应用有效改变了依赖人工巡查的传统模式，大幅提升了道路病害的发现效率、处置速度和全区道路设施的精细化管理水平，为保障公共安全、提升城市形象提供关键技术支撑。

This dataset is purpose-built for training and optimizing visual recognition models for the pavement conditions of municipal roads in Xicheng District, Beijing. It aims to intelligently and accurately identify six typical types of road diseases (including ancillary facilities) within its jurisdiction: road waterlogging, cracks, potholes, subsidence/collapse, edge damage, and alligator cracking.

The application is designed to serve departments including the Xicheng District Urban Management Committee and Municipal Urban Appearance Management Center in their daily road inspection, preventive maintenance and emergency repair work. By integrating the AI recognition model into the smart urban management platform, automated 7×24-hour monitoring can be implemented for areas under jurisdiction such as urban main roads, auxiliary roads, hutongs and streets.

The specific workflow is as follows: the system automatically detects road diseases → the platform generates and dispatches work orders → maintenance units conduct on-site disposal → verification and acceptance for case closure.

This application effectively replaces the traditional manual inspection-based model, greatly improving the detection efficiency of road diseases, disposal speed and the refined management level of road facilities across the entire district, and providing key technical support for ensuring public safety and enhancing the city's image.