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EpiSAM: Dataset
What the Dataset Contains
- Inscription Images
- Binarised Images
- Character Masks
- Line Masks
Citation
If you use our dataset in your research, please cite the following papers:
@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.
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