---
dataset_info:
  features:
    - name: image
      dtype: image
    - name: mask
      dtype: image
    - name: sample_id
      dtype: string
    - name: subset
      dtype: string
    - name: labeled
      dtype: bool
  splits:
    - name: a_pxi_labeled
      num_examples: 850
    - name: a_pxi_unlabeled
      num_examples: 2650
    - name: c_pxi_labeled
      num_examples: 50
    - name: c_pxi_unlabeled
      num_examples: 450
configs:
  - config_name: default
    data_files:
      - split: a_pxi_labeled
        path: data/a_pxi_labeled-*
      - split: a_pxi_unlabeled
        path: data/a_pxi_unlabeled-*
      - split: c_pxi_labeled
        path: data/c_pxi_labeled-*
      - split: c_pxi_unlabeled
        path: data/c_pxi_unlabeled-*
license: cc-by-4.0
task_categories:
  - image-segmentation
tags:
  - medical-imaging
  - dental
  - panoramic-x-ray
  - tooth-segmentation
  - semi-supervised
pretty_name: STS-2D-Tooth
size_categories:
  - 1K<n<10K
---

# STS-2D-Tooth

The 2D panoramic dental X-ray subset of the STS (Semi-supervised Teeth
Segmentation) multi-modal dataset, as released in
[Wang et al., *Scientific Data* **12**, 117 (2025)](https://doi.org/10.1038/s41597-024-04306-9)
and used in the MICCAI 2023 STS Challenge.

## Composition

4,000 panoramic X-ray images (PNG, 640x320, 3-channel grayscale-as-RGB) split
across two demographic subsets:

| Subset                | Total | Labeled | Unlabeled |
|-----------------------|------:|--------:|----------:|
| A-PXI (adult)         | 3,500 |     850 |     2,650 |
| C-PXI (child)         |   500 |      50 |       450 |
| **Total**             | 4,000 |     900 |     3,100 |

Masks are 1-bit binary tooth-region masks at the same resolution as the source
image. Annotations were initialized manually on a 300-image seed by 20 trained
dental practitioners, refined by an R2 U-Net assistant model, and quality-vetted
by 6 dentists.

## Splits

- `a_pxi_labeled` (850) - adult panoramic X-rays with binary tooth masks
- `a_pxi_unlabeled` (2,650) - adult panoramic X-rays, no masks
- `c_pxi_labeled` (50) - paediatric panoramic X-rays with binary tooth masks
- `c_pxi_unlabeled` (450) - paediatric panoramic X-rays, no masks

For unlabeled splits the `mask` column is null.

## Citation

```bibtex
@article{wang2025sts,
  title   = {A multi-modal dental dataset for semi-supervised deep learning image segmentation},
  author  = {Wang, Yaqi and others},
  journal = {Scientific Data},
  volume  = {12},
  pages   = {117},
  year    = {2025},
  doi     = {10.1038/s41597-024-04306-9}
}

@article{wang2024stschallenge,
  title   = {STS MICCAI 2023 Challenge: Grand challenge on 2D and 3D semi-supervised tooth segmentation},
  author  = {Wang, Yaqi and others},
  journal = {arXiv:2407.13246},
  year    = {2024}
}
```

## License

CC-BY-4.0 (per the Zenodo release at
[zenodo.org/records/10597292](https://zenodo.org/records/10597292)).