Repository for UFBA-425 and OralBBNet

This repository contains the implementation related to the pipelines of UFBA-425 dataset and the paper OralBBNet: Spatially Guided Dental Segmentation of Panoramic X-Rays with Bounding Box Priors.

• UFBA-425 Dataset used in this study are avaiable at FigShare

• UFBA-425 Dataset featured in Roboflow100-VL Benchmark for the year of 2025 and referred UFBA-425 as one of the hardest datasets for vision tasks. Find the paper here.

Dataset

• We introduce a set of 425 panoramic X-rays with Human annotated Bounding Boxes and Polygons, the 425 images are a subset of UFBA-UESC Dental Dataset. This dataset can be extensively used for detection and segmentation tasks for Dental Panoramic X-rays. Refer to Description for understanding the organisation of training and evaluation data. The Distribution of Categories in the dataset are metnioned in the table below.

Results

• Teeth Numbering Results

• Instance Segmentation Results

• Refer to the paper for further information on model architectures and datasets used for evaluation.

Teeth Numbering Heatmaps

Segmentation Masks

Code Structure

```bash

2ddaatagen.ipynb => Notebook for generating labels yolov8train.ipynb => Notebook for training YOLOv8 yolotest.ipynb => Notebook for testing YOLOv8 unettraining.ipynb => Notebook for training U-Net unet+cv.ipynb => Notebook for training U-Net with cross validation yolov8+unettraining.ipynb => Notebook for training OralBBNet yolov8+unet+cv.ipynb => Notebook for training OralBBNet with cross validation ```

Cite Us

If you want to cite the dataset, cite this: bibtex @article{Budagam2025, author = "Devichand Budagam and Azamat Zhanatuly Imanbayev and Iskander Rafailovich Akhmetov and Aleksandr Sinitca and Sergey Antonov and Dmitrii Kaplun", title = "{UFBA-425}", year = "2025", month = "8", url = "https://figshare.com/articles/dataset/UFBA-425/29827475", doi = "10.6084/m9.figshare.29827475.v1" } if you want to cite the method OralBBNet, cite this: bibtex @misc{budagam2025oralbbnetspatiallyguideddental, title={OralBBNet: Spatially Guided Dental Segmentation of Panoramic X-Rays with Bounding Box Priors}, author={Devichand Budagam and Azamat Zhanatuly Imanbayev and Iskander Rafailovich Akhmetov and Aleksandr Sinitca and Sergey Antonov and Dmitrii Kaplun}, year={2025}, eprint={2406.03747}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2406.03747}, }