2021年-2025年机载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激光点云人工智能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113条，覆盖147平方公里。
数据集样本标注分类包含：地面、车辆、围墙/栅栏、植被、建筑物、电线、杆状物、桥、塔吊、电力塔等。可用于基于激光点云数据进行地形提取和各类要素信息提取的人工智能(AI)算法和模型训练优化，为自然资源(测绘)实景三维中国建设、林业资源调查、地质灾害分析、水利数字孪生底座构建、教育科研等提供支撑。

This is a high-quality sample dataset self-produced by Tuxi Digital Technology (Zhejiang) Co., Ltd. for the R&D of GeoAI laser point cloud AI fine classification software and the optimization and training of inference models. It consists of 113 samples covering an area of 147 square kilometers. The annotated categories of the dataset samples include ground, vehicles, walls/fences, vegetation, buildings, power lines, poles, bridges, tower cranes, electric transmission towers, and so on. This dataset can be used for the training and optimization of AI algorithms and models for terrain extraction and various feature information extraction based on laser point cloud data, providing support for the construction of Real-scene 3D China under the natural resources (surveying and mapping) sector, forestry resource surveys, geological hazard analysis, construction of digital twin bases for water conservancy, educational and scientific research, and other related fields.

搜集汇总

背景与挑战

背景概述

该数据集由图兮数字科技生产，包含113条覆盖147平方公里的机载激光点云数据，精细标注了地面、建筑物等10类要素，适用于AI算法训练及自然资源、林业等多领域应用。