Instructions to use anyformat/doclayout-yolo-docstructbench with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use anyformat/doclayout-yolo-docstructbench with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("anyformat/doclayout-yolo-docstructbench") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
File size: 799 Bytes
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license: apache-2.0
tags:
- document-layout
- object-detection
- yolo
library_name: ultralytics
---
# DocLayout-YOLO - Docstructbench
Document layout detection model. Paper: [DocLayout-YOLO](https://arxiv.org/abs/2410.12628)
## Classes (10)
- `title`
- `plain_text`
- `abandon`
- `figure`
- `figure_caption`
- `table`
- `table_caption`
- `table_footnote`
- `isolate_formula`
- `formula_caption`
## Usage
```python
pip install anyformat-doclayout
```
```python
from anyformat.doclayout import DocLayoutModel, download_converted
# Download weights from this repo
weights = download_converted("docstructbench")
# Run inference
model = DocLayoutModel(weights)
results = model.predict("document.png")
for det in results:
print(f"{det['class_name']}: {det['confidence']:.2f}")
```
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