zenodoopen
Pecha Line Segmentation Datasets
<p>Training data for line segmentation of Tibetan woodblock prints. This version of dataset contain images randomly picked images from LOC scans of the <a href="https://www.tbrc.org/#!rid=W4CZ5369">derge kangyur</a>.</p> <p>This dataset was trained with Unet Model using fastai library. The result was unsatisfactory due to insufficient data.</p> <p><strong>Datasets contains:</strong></p> <ol> <li>Images/ : Original pecha image</li> <li>Labels/ : Mask of each image</li> <li>valid.txt: list of validation filename</li> <li>code.txt: list of name of object</li> </ol>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4