A Dataset of Multi-View Preclinical Tooth Preparation Images with Educational Annotations
Description
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
Files
Steps to reproduce
These steps will be provided in a data article to be published.
Institutions
- Jordan University of Science and TechnologyIrbid, Irbid