SL_dataset

SL_dataset is a dataset specifically designed for the processing and analysis of structured light point cloud data. Its main applications include: processing 3D point cloud data obtained through structured light scanning; enabling noise detection and removal for point cloud data, providing geometric feature analysis and structure preservation capabilities, as well as supporting point cloud density analysis and local feature extraction; and performing point cloud object detection based on graph neural networks, which supports bounding box prediction and confidence evaluation, and realizes multi-scale feature fusion and attention mechanisms.