ElecsDataset: a 3D semantic segmentation dataset for substation environments

ElecsDataset is a specialized 3D semantic segmentation dataset designed for substation environments. It addresses the shortage of domain-specific annotated data in the field of substation 3D semantic segmentation. This dataset offers high-resolution, meticulously annotated point clouds that capture complex equipment structures and real-world occlusions. It consists of data collected from three substations of varying scales. The dataset is systematically partitioned into 6 distinct spatial regions with heterogeneous dimensions. Following standardized evaluation protocols, Area 5 is designated as the testing subset, while the remaining five areas form the training subset. Moreover, the dataset is divided into 10 categories, including non-equipment entities like busbars, electrical wires, the ground, buildings, overhead structures, walls, and miscellaneous objects, as well as substation equipment categorized into small, medium, and large scales. This comprehensive benchmark dataset is optimized for compatibility with deep neural architectures and maintains computational efficiency during model training.