3DTeethSegX: A Multi-Scenario benchmark for Tooth Point Cloud Completion

This 3DTeethSegX dataset is a benchmark dataset specifically designed for tooth point cloud completion and segmentation tasks. Built upon the publicly available 3DTeethSeg 2022 MICCAI Challenge dataset, it comprises 1,494 pairs of tooth point clouds and their corresponding tooth images from 38 patients. Each pair includes a partial point cloud (2,048 points) and a complete point cloud (16,384 points). To simulate real-world scenarios, the dataset defines 12 distinct occlusion cases, covering 4 tooth positions (Molar, Premolar, Canine, and Incisor) and 3 levels of occlusion severity (Hard, Moderate, and Simple). The occlusions are generated by clipping spheres at specific locations on the tooth, with sphere radii following a truncated Gaussian distribution tailored to tooth size and occlusion severity. Additionally, the dataset provides simulated occlusal view images, enhancing data diversity and practicality. 3DTeethSegX serves as a high-quality benchmark for tooth point cloud completion, segmentation, and related medical applications.