---
license: cc-by-nc-3.0
pipeline_tag: object-detection
tags:
- vision
- yolo
- ultralytics
- document-processing
- line-segmentation
- obb
---

# Tzefa Line Segmentation Model (YOLO11x-OBB)

Custom-trained oriented bounding box (OBB) model for detecting text lines in handwritten code images.

## Architecture
- **Model:** YOLO11x-OBB (Ultralytics)
- **Task:** Oriented Bounding Box detection
- **Classes:** 1 (text_line)
- **Input:** RGB image (letterboxed to 640x640 internally)
- **Output:** OBB coordinates per text line, sorted top-to-bottom

## Usage
```python
from huggingface_hub import hf_hub_download
from ultralytics import YOLO

weights = hf_hub_download("WARAJA/Tzefa-Line-Segmentation-YOLO", "best.pt")
model = YOLO(weights)
results = model.predict("your_image.png", imgsz=640, conf=0.2, iou=0.2)
```

## Training
- See `training_artifacts/` for training curves, confusion matrices, and configuration.

## Related
- [Full Tzefa Pipeline](https://huggingface.co/spaces/WARAJA/Tzefa)
- [OCR Demo](https://huggingface.co/spaces/WARAJA/Tzefa-OCR)
- [Line Segmentation Dataset](https://huggingface.co/datasets/WARAJA/Tzefa-Line-Segmentation-Dataset)