---
license: cc-by-sa-4.0
tags:
- epigraphy
- historical
- historical_document
- inscriptions
- icdar
- stone_inscriptions
---

# EpiSAM: Weights

[Project Website](https://ihdia.iiit.ac.in/episam/)

**For EpiSAM dataset refer to the project website.**

We provide two weights:
- `episam.pth` is the checkpoint for the segmentation module.
- 'binarizer.pth' is the checkpoint for the binarizer used in the self-prompting module. For more details on this refer to the [Shilalekhya Binarization](https://ihdia.iiit.ac.in/shilalekhya-binarization/) website.

Training code is provided in the [GitHub repository](https://github.com/ihdia/episam/) for EpiSAM.

## Citation

If you use our dataset in your research, please cite the following papers:

```bibtex
@InProceedings{10.1007/978-3-032-36039-7_18,
author="Sharma, Arnav
and Jena, Pratyush
and Joseph, Amal
and Sarvadevabhatla, Ravi Kiran",
title="EpiSAM: Character Segmentation in Challenging Stone Inscriptions",
booktitle="Document Analysis and Recognition -- ICDAR 2026",
year="2027",
publisher="Springer Nature Switzerland",
address="Cham",
pages="299--315",
isbn="978-3-032-36039-7"
}


@inproceedings{Jena_2025,
series={ICVGIP 2025},
title={Unveiling Text in Challenging Stone Inscriptions: A Character-Context-Aware Patching Strategy for Binarization},
url={http://dx.doi.org/10.1145/3774521.3774539},
DOI={10.1145/3774521.3774539},
booktitle={Proceedings of the Sixteen Indian Conference on Computer Vision, Graphics and Image Processing},
publisher={ACM},
author={Jena, Pratyush and Joseph, Amal and Sharma, Arnav and Sarvadevabhatla, Ravi Kiran},
year={2025},
month=Dec,
pages={1–9},
collection={ICVGIP 2025}
}
```

## Acknowledgement

We sincerely acknowledge **The Mythic Society Bengaluru** for providing the inscription images used in this work. These resources are part of the *Inscriptions 3D Digital Conservation Project*, an initiative aimed at preserving and digitizing valuable epigraphic heritage.

For more information about the project, please visit:

[Akshara Bhandara – Inscriptions 3D Digital Conservation Project](https://mythicsociety.github.io/AksharaBhandara/).

---