links-ads/Turin3D

都灵3D数据集是一个在2022年1月于意大利都灵市采集的LiDAR点云数据集合，以LAS 1.4格式存储。该数据集旨在用于3D语义分割任务，提供了一个城市环境的详细三维表示，可用于开发和评估面向城市场景的语义分割模型。数据集包含近7000万个点，分为57个区块，每个区块覆盖约25平方公里。数据集分为训练集、验证集和测试集，其中训练集提供软标签（类概率），验证集和测试集提供精确注释（硬标签）。

The Turin 3D dataset is a collection of LiDAR point cloud data acquired within the city of Turin, Italy on January 2022 and stored in LAS 1.4 format. Designed for 3D semantic segmentation tasks, this dataset provides a detailed 3D representation of the urban environment, which can be used to develop and evaluate semantic segmentation models for urban scenes. The dataset contains nearly 70 million points, divided into 57 blocks, each covering about 25 square kilometers. It is split into training, validation, and test sets, with the training set providing soft labels (class probabilities), while the validation and test sets offer precise annotations (hard labels).