metadata
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, an automated tool for comic translation and layout analysis.
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)
from ultralytics import YOLO
# Load the model
model = YOLO('comic-panels-and-text-detect.pt')
# Predict
results = model.predict(source='comic_page.jpg', conf=0.25, imgsz=1280)
# Show results
results[0].show()