A Dataset of Multi-View Preclinical Tooth Preparation Images with Educational Annotations

The dataset comprises composite images generated from three predefined photographic views (facial, occlusal, and lingual) for each tooth preparation, along with corresponding expert annotation records. The data repository contains three separate files. The first file, “Annotation.xlsx”, includes the evaluation criteria and corresponding results for each composite image (referenced by filename), in addition to summary statistics. The second file, “Stitched Images.zip,” is a compressed archive containing four subfolders organized by tooth type (Canines, Incisors, Molars, and Premolars); each folder includes the composite multi-view images following the specified naming convention. The third file, “Separate View Images.zip”, is similarly organized into four tooth-type subfolders, each containing three individual view images (facial, occlusal, and lingual) per preparation, labeled according to the same naming convention. The images were stitched (i.e., combined) using the python code stitching.py本数据集涵盖针对每一例牙体预备（tooth preparation）生成的、由三种预设拍摄视角（颊面观、咬合面观、舌面观）合成的图像（composite images），以及对应的专家标注记录。本数据集共包含三个独立文件：第一个文件为"Annotation.xlsx"，包含每张合成图像（以文件名作为索引）的评估标准与对应评估结果，同时附带汇总统计数据；第二个文件为"Stitched Images.zip"，是一个压缩归档文件，内含四个按牙型分类的子文件夹（尖牙、切牙、磨牙、前磨牙），每个文件夹内均包含遵循指定命名规则的多视图合成图像；第三个文件为"Separate View Images.zip"，同样分为四个牙型子文件夹，每个文件夹内包含每一例牙体预备对应的三张单视角原始图像（颊面观、咬合面观、舌面观），命名遵循同一套规则。所有合成图像均通过stitching.py Python代码拼接（即合并）生成。