扣件缺失检测数据集

此数据集来源于深圳地铁五站三区间应用示范专项中轨道巡检机器人示范工作，可作为轨道扣件缺失病害识别算法提供有力的数据支持，提高扣件缺失病害识别的鲁棒性。本数据产生方法为：将本课题自研的扣件缺失检测装置安装于轨道巡检机器人上，且位于轨道扣件正上方，通过机器人运动触发装置自动采集扣件图像数据，扣件型号为DT-III型，数据量约为40GB。This dataset originates from the track inspection robot demonstration work under the "Five Stations and Three Sections" application demonstration special project of Shenzhen Metro. It can provide strong data support for the missing fastener defect recognition algorithm, thereby improving the robustness of missing fastener defect recognition. The data collection method is as follows: the self-developed missing fastener detection device of this project is installed on the track inspection robot, directly above the track fasteners. The device automatically collects fastener image data when triggered by the robot's movement. The fasteners are of DT-III model, and the total data volume is approximately 40 GB.

搜集汇总

背景与挑战

背景概述

该数据集是一个用于轨道扣件缺失检测的机器视觉数据集，来源于深圳地铁轨道巡检机器人示范项目，旨在支持扣件缺失病害识别算法的开发与优化。数据集包含DT-III型扣件的图像数据，通过自研装置自动采集，数据量约为40GB（压缩后为2.63GB），为相关研究提供实际场景下的高质量数据支持。