3Shape FDI 16 Meshes from Intraoral Scans

The FDI 16 tooth mesh dataset including original meshes and exact data used in the original VF-Net paper. All scans are fully anonymized and donated by 3Shape.
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The data contains 4844/1465/1423 meshes and point clouds for train/val/test respectively for deep/machine learning. Training and validation data stems from clinics based in Europe, while the test sets is a mix of North American and South American scans. The scans were collected using TRIOS scanners, and primarily the TRIOS 3 model. The data serves as a new and highly relevant use case for computer algorithms for 3D objects. 
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Each scan contain:

<em>"_mesh.ply"</em> suffix file: A PLY file of the original segmented tooth mesh
<em>"_point_cloud.ply": </em>The vertices and facet midpoints of the mesh as a point cloud
<em>"_curvature_edgedistance.dat": </em>A binary file including first the curvature of each point in the "_point_cloud.ply" and subsequently the djikstra distance to nearest edge vertex.

本数据集为FDI 16齿网格数据集，包含原始网格与原始VF-Net论文中使用的精准实验数据。所有扫描数据均已完全匿名化，由3Shape公司捐赠。

本数据集包含用于深度学习与机器学习任务的训练集、验证集、测试集对应的网格与点云数据，各组数据量分别为4844、1465、1423组。其中训练集与验证集数据源自欧洲地区的牙科诊所，测试集则由北美与南美地区的扫描数据混合组成。所有扫描数据均通过TRIOS扫描仪采集，且主要采用TRIOS 3型号设备生成。本数据集为三维物体相关计算机算法提供了全新且极具应用价值的测试场景。

每个扫描样本包含以下三类文件：
1. 带有"_mesh.ply"后缀的文件：原始分割牙齿网格的PLY格式文件；
2. 带有"_point_cloud.ply"后缀的文件：以点云形式存储的网格顶点与面片中点数据；
3. 带有"_curvature_edgedistance.dat"后缀的二进制文件：该文件依次存储"_point_cloud.ply"中每个点的曲率数据，以及各点到最近边缘顶点的迪杰斯特拉（Dijkstra）距离数据。

搜集汇总

背景与挑战

背景概述

该数据集包含4844个训练集、1465个验证集和1423个测试集的口腔内扫描牙齿网格和点云数据，主要用于深度学习研究。数据来自欧洲、北美和南美的诊所扫描，每个扫描包含原始网格、点云及曲率边缘距离信息。