🗂 GridNet HD dataset 1. Introduction This dataset was developed for 3D semantic segmentation task using both images and 3D point clouds specialized on electrical infrastructure. Grid (electrical) Net work at H igh D ensity and High Resolution represents the first Image+LiDAR dataset accurately co referenced in the electrical infrastructure domain. This dataset is associated with a public leaderboard hosted on Hugging Face Spaces, available at: leaderboard. The dataset is associated with the following paper: This repository hosts the official data splits and resources used in the experiments reported in the paper. Raw 3D 3D segmented Corresponding image 2. Dataset Structure This dataset consists of 36 geographic zones, each represented by a folder named after its area code (e.g. t1z4, t1z5a, etc.). Each zone contains aligned multimodal data (images, segmentation masks, LiDAR point cloud, and camera parameters), enabling high precision image to 3D projection for multimodal fusion 3D semantic segmentation task. A split.json file at the root of the dataset defines the official train/test partition of the zones. To ensure fair evaluation on the official test set , ground truth annotati…
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