heig-vd-geo/GridNet-HD

GridNet-HD数据集是一个为电力基础设施的3D语义分割任务而开发的图像和3D点云数据集。它包含36个地理区域，每个区域都包含对齐的多模态数据，包括高分辨率RGB图像、分割掩码、激光雷达点云和相机参数。数据集分为训练集和测试集，确保了语义组的全覆盖和类的平衡分布。数据集与一篇论文相关联，并在Hugging Face Spaces上提供，参与者可以在那里提交他们的预测以进行评估。数据集在CC-BY-4.0许可下发布，并且可以通过Hugging Face Hub下载。README中还提供了基线模型和运行模型的数据集说明。

The GridNet-HD dataset is designed for 3D semantic segmentation tasks focusing on electrical infrastructure, utilizing both images and 3D point clouds. It comprises 36 geographic zones with aligned multimodal data, such as high-resolution RGB images, segmentation masks, LiDAR point clouds, and camera parameters. The dataset is split into train and test sets, ensuring full coverage of semantic groups and balanced class distribution. It is associated with a paper and accessible on Hugging Face Spaces, where participants can submit their predictions for evaluation. The dataset is released under the CC-BY-4.0 license and can be downloaded via the Hugging Face Hub. Baselines and instructions for running models on this dataset are also provided.