MindtraceLtd/multi_task_dataset_2

这是一个包含分类和分割任务的点云数据集，数据集中可能包含缺失值。分类任务包括四种对象类型：立方体、球体、圆柱体和圆锥体。分割任务则将点云分为地面、建筑结构、植被和噪声四类。数据集分为训练集和测试集，其中训练集包含12个样本，测试集包含5个样本。

This is a point cloud dataset with classification and segmentation tasks, which may contain missing values. The classification task includes four object types: cube, sphere, cylinder, and cone. The segmentation task categorizes the point cloud into four classes: ground, structure, vegetation, and noise. The dataset is divided into training and test sets, with the training set containing 12 samples and the test set containing 5 samples.