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license: apache-2.0
task_categories:
- image-segmentation
tags:
- yolo
- ultralytics
- comic
- manga
- ocr
---
# YOLO26n-seg for Comic Panels and Text Detection
This model is a fine-tuned version of **YOLO26n-seg** specifically designed for detecting and segmenting **Panels** and **Text Bubbles** in Comics, Manga, and Manhwa.
## 🚀 Usage in ebookcc
This model powers [ebookcc](https://ebookcc.com), an automated tool for create and convert Ebook.
## Predict
## 📊 Model Details
- **Task**: Instance Segmentation
- **Classes**:
- `Panel`: Comic frame borders.
- `Text`: Speech bubbles and on-page text.
- **Input Size**: 1280px (optimized for high-res scans).
## 🛠 How to use (Ultralytics)
```python
from ultralytics import YOLO
# Load the model
model = YOLO('comic-panels-and-text-detect.safetensors')
# Predict
results = model.predict(source='comic_page.jpg', conf=0.25, imgsz=1280)
# Show results
results[0].show() |