The style classification of Tibetan text is done to create training data to develop a style detection model that accurately identifies and categorises different written and printed styles such as Uchen, Umê, Chuyig, and Drutsa, based on their distinct visual characteristics.
active 2024-05-30 → 2024-09-03 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 97 days from 2024-05-30 to 2024-09-03. Pushes: 15 total, peak 6 in a day. Pull requests: 5 total, peak 4 in a day. Issues: 2 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| 10kalden | 17 | 12 | 3 | 0 |
| ta4tsering | 5 | 3 | 2 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#510kalden2024-07-16 05:12OCR0038: Compare the style classified images.
- Pull request#410kalden2024-06-07 05:36
- Pull request#3ta4tsering2024-05-30 10:40
- Pull request#310kalden2024-05-30 10:19
- Pull request#2ta4tsering2024-05-30 08:44
- Pull request#210kalden2024-05-30 08:24
- Issue#110kalden2024-05-30 08:23OCR0004: Style Classification data creation
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.