AlphaDent: A dataset for automated tooth pathology detection

TL;DR

AlphaDent is a new open dataset of 1200+ DSLR images of teeth from 295 patients, designed for dental instance segmentation, with promising neural network results and available code.

Contribution

The paper introduces AlphaDent, a unique, labeled dental image dataset for instance segmentation, along with neural network training results and open-source code.

Findings

High-quality predictions achieved on the dataset

Dataset is publicly available under open license

Training code and model weights are openly accessible

Abstract

In this article, we present a new unique dataset for dental research - AlphaDent. This dataset is based on the DSLR camera photographs of the teeth of 295 patients and contains over 1200 images. The dataset is labeled for solving the instance segmentation problem and is divided into 9 classes. The article provides a detailed description of the dataset and the labeling format. The article also provides the details of the experiment on neural network training for the Instance Segmentation problem using this dataset. The results obtained show high quality of predictions. The dataset is published under an open license; and the training/inference code and model weights are also available under open licenses.