管道巡检风险目标数据集

管道巡检风险目标数据集面向油气管道沿线无人机巡检智能识别需求构建，覆盖华南、云南、广西、西气东输、浙江、华中、西北等典型区域，具有较强的区域代表性。数据集围绕管道周边风险识别开展标注，涵盖施工机械、车辆、自然环境、人类活动及管道设施等类别，包括挖掘机、铲车、重型车辆、车辆、桥、输电塔、太阳能板、警示牌等目标，可为风险目标检测、隐患研判和智能预警提供基础数据支撑。

The Pipeline Inspection Risk Target Dataset is developed to meet the demands of intelligent recognition for unmanned aerial vehicle (UAV) inspections along oil and gas pipelines. It covers typical regions including South China, Yunnan, Guangxi, the West-to-East Natural Gas Transmission Pipeline Project, Zhejiang, Central China, and Northwest China, demonstrating strong regional representativeness. The dataset is annotated for risk recognition around pipelines, covering categories such as construction machinery, vehicles, natural environments, human activities and pipeline facilities, including targets like excavators, forklifts, heavy-duty vehicles, ordinary vehicles, bridges, transmission towers, solar panels, warning signs and others. It can provide fundamental data support for risk target detection, hidden danger assessment and intelligent early warning.

搜集汇总

背景与挑战

背景概述

该数据集面向油气管道无人机巡检智能识别需求构建，覆盖华南、云南、广西、西气东输等典型区域，具有较强代表性。数据集围绕管道周边风险识别进行标注，涵盖施工机械、车辆、自然环境等类别，为风险目标检测和智能预警提供基础数据支撑。