2021年-2025年电力巡线激光点云精细分类标注数据集

该数据是图兮数字科技(浙江)有限公司为进行GeoAI电力巡线激光点云精细分类软件产品研发和推理模型优化训练自行生产的高质量样本数据；共92条，覆盖线路长度136公里。
数据集样本标注分类包含：地面，车辆，围墙/栅栏，植被，建筑物，杆状物，导线，电力杆塔，跨越线，地线，绝缘子，引流线，承力索。等。可用于电力巡线激光点云数据人工智能数据自动分类处理模型的训练，为电力巡检AI工程化应用和相关科研提供高质量样本支撑。

This is a high-quality self-produced sample dataset developed by Tuxi Digital Technology (Zhejiang) Co., Ltd. for the research and development of GeoAI-powered fine-grained classification software for power line inspection LiDAR point clouds and the optimized training of inference models. It comprises 92 samples, covering a total line length of 136 kilometers.

The annotated categories of the dataset samples include: ground, vehicle, fence/barrier, vegetation, building, pole-like objects, power conductors, electric transmission towers, crossing lines, ground wires, insulators, jumper wires, messenger wires, etc. This dataset can be used for training AI-powered automatic classification models for power line inspection LiDAR point cloud data, providing high-quality sample support for the engineering application of power inspection AI and related scientific research.

搜集汇总

背景与挑战

背景概述

该数据集为电力巡线激光点云精细分类标注数据，包含92条样本覆盖136公里线路，标注13类对象，用于AI模型训练和电力巡检应用。