Object Detection
YOLOv10
Tibetan
doclayout-yolo
tibetan
document-layout-analysis
bounding-box
BDRC
Eval Results (legacy)
Instructions to use BDRC/Tibetan-Modern-Book-Layout-Detection-DocLayout-YOLO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- YOLOv10
How to use BDRC/Tibetan-Modern-Book-Layout-Detection-DocLayout-YOLO with YOLOv10:
from ultralytics import YOLOvv10 model = YOLOvv10.from_pretrained("BDRC/Tibetan-Modern-Book-Layout-Detection-DocLayout-YOLO") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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@@ -49,7 +49,7 @@ YOLOv10-based) object detector that locates the four structural regions of a
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> recipe to test how much the choice of architecture matters (see the
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> [blog post](https://github.com/buda-base/tibetan-book-layout-analysis/blob/main/BLOGPOST.md)).
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> The primary, production release is the RT-DETR-l fine-tune at
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> [BDRC/Tibetan-Modern-Book-Layout-Detection](https://huggingface.co/BDRC/Tibetan-Modern-Book-Layout-Detection)
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> (MIT-licensed). **This checkpoint is licensed AGPL-3.0**, not MIT, because
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> DocLayout-YOLO's own codebase (and the Ultralytics YOLO it builds on) is
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> AGPL-3.0 — see [License](#license) below before using it in a closed-source
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> recipe to test how much the choice of architecture matters (see the
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> [blog post](https://github.com/buda-base/tibetan-book-layout-analysis/blob/main/BLOGPOST.md)).
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> The primary, production release is the RT-DETR-l fine-tune at
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> [BDRC/Tibetan-Modern-Book-Layout-Detection-RTDETR](https://huggingface.co/BDRC/Tibetan-Modern-Book-Layout-Detection-RTDETR)
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> (MIT-licensed). **This checkpoint is licensed AGPL-3.0**, not MIT, because
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> DocLayout-YOLO's own codebase (and the Ultralytics YOLO it builds on) is
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> AGPL-3.0 — see [License](#license) below before using it in a closed-source
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