ToothFairy3 Dataset

This page describes the dataset associated with the ToothFairy 3 challenge, a challenged organized by the University of Modena and Reggio Emilia with the collaboration of Radboud University. The challenge is hosted by grand-challenge and is part of the ODIN2025 workshop within MICCAI2025. For challenge details, please visit the dedicated website. The dataset used to run the challenge and here described is an extension and improvement of previously released datasets, Maxillo, ToothFairy, and ToothFairy2.

Features

The table below resumes the core information about the (training) dataset released for ToothFairy3 challenge.

Although with additional annotations, volumes of "Set A" (marked with a leading P in the file name) and "Set B" (marked with a leading F in the file name) overlaps with those of the ToothFairy2 dataset. Data from "Set B" have a broader field of view containing the complete upper teeth segmentations. The acquisition machine for "Set A" and "Set B" is the same. Data from "Set C" (marked with a leading G in the file name) were not previously released with the ToothFairy2 datasets and have been acquired from a different machine. The field of view of "Set C" is similar to that os "Set A".

Dataset Structure

The ToothFairy3 dataset follows the nnU-Net dataset format. Datasets consist of three components: raw images, corresponding segmentation maps and a dataset.json file specifying some metadata. Data are available in NIfTI format. The class IDs are an extension of the FDI World Dental Federation notation and include: Background, Jaws, Inferior Alveolar Canals, Maxillary Sinus, Pharynx, Bridges, Crowns, Implants, Upper and Lower Teeth (Wisdom Teeth included), Incisive Canals, Lingual Canal, and Teeth Roots/Pulps for a total of 77 classes.