Dataset Open Access
Synthetic MSI Images of Georgian Palimpsests (SGP Dataset)
Mahdi Jampour;
Hussein Mohammed;
Jost Gippert
This is a dataset of Synthetic MSI Images of Georgian Palimpsests (SGP Dataset). It has been created for the purpose of training inpainting models in order to remove the overtext and reconstruct the undertext. It consists of three subsets: train, test and validation. Each synthetic palimpsest has its on mask and ground truth imagesas follows:
- Ground Truth Image: ImageName_a
- Mask Image: ImageName_b
- Synthetic Palimpsests: ImageName_c
The typeface used to generate this synthetic dataset is for a very particular and unknown script to generate synthetic training samples. The first draft of the typeface was created by Jost Gippert in 2005, while the final version was prepared by Andreas Stötzner in 2007.
The research for this work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2176 ‘Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures', project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg.
| Name | Size | |
|---|---|---|
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Image_0000_a.png
md5:b7495684fea4d6f1bb7bac972937b880 |
5.6 MB | Download |
|
Image_0000_b.png
md5:3f281d7b7155e71065d7bc9ace48d15c |
391.7 kB | Download |
|
Image_0000_c.png
md5:09e4c7f0b649d912ae12710972b9ea19 |
8.0 MB | Download |
|
The SGP Dataset.zip
md5:33f0d7cc51c0e21cae390dd1fdfc45ab |
13.9 GB | Download |
- Publication date:
- September 21, 2023
- DOI:
-
- Keyword(s):
- Dataset Computer Vision Generative AI Inpainting
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International