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Tibetan Header/Footer (YOLO detection dataset)
This dataset contains page images annotated for header/footer-related page layout elements.
Hosted on Hugging Face: openpecha/Tibetan-header-footer.
Contents
- Task: object detection
- Format: YOLO text labels (
class x_center y_center width height, all normalized to[0,1]) - Images:
313total- Train:
251 - Val:
62
- Train:
- Classes (nc=4):
0:header1:footer2:footnote3:page_number
Folder structure
images/
train/ # .jpg
val/ # .jpg
label/
train/ # .txt (YOLO)
val/ # .txt (YOLO)
data.yaml
How it was produced
Annotations were not created purely by hand from scratch.
- Step 1 (model inference): bounding boxes were generated by running inference on the page images using:
- DocLayout-YOLO
- PP-DocLayout
- Step 2 (manual correction): the model outputs were then manually corrected using the Ultralytics annotation web app (Ultralytics Hub).
Notes
- Each image
X.jpghas a corresponding label filelabel/{train|val}/X.txt. - Images may contain multiple boxes across classes.
License
MIT
license: mit
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