This repository contains the SemanticRail3D dataset, a high-quality 3D point cloud dataset for railway infrastructure segmentation and classification. It consists of 438 point clouds, each covering 200 meters of track, totaling 2.8 billion points labeled into 11 semantic classes.
What is the Arshia-Gha/SemanticRail3D_Dataset GitHub project? Description: "This repository contains the SemanticRail3D dataset, a high-quality 3D point cloud dataset for railway infrastructure segmentation and classification. It consists of 438 point clouds, each covering 200 meters of track, totaling 2.8 billion points labeled into 11 semantic classes.". Written in HTML. Explain what it does, its main use cases, key features, and who would benefit from using it.
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