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Tzefa-Line-Segmentation-YOLO
WARAJA/Tzefa-Line-Segmentation-YOLO
Tzefa-Line-Segmentation-YOLO is a object detection model from WARAJA. Use it when you need objects located in an image. It is set up for ultralytics. The card lists the license as cc-by-nc-3.0.
Custom-trained oriented bounding box (OBB) model for detecting text lines in handwritten code images.
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At a glance
- Task
- Object Detection
- Library
- ultralytics
- License
- cc-by-nc-3.0
- Access
- Public
- Created
- Mar 4, 2026
- Updated
- Mar 4, 2026
- SHA
- fc935674
Spaces
Model card
From the Hugging Face model README
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
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
- Task
- Object Detection
- Library
- ultralytics
- License
- cc-by-nc-3.0
- Created
- Mar 4, 2026
- Updated
- Mar 4, 2026