metadata
title: ComicPanelsAndTextDetect
emoji: 📊
colorFrom: indigo
colorTo: red
sdk: gradio
sdk_version: 6.14.0
python_version: '3.13'
app_file: app.py
pinned: false
short_description: Using YOLO to detect comic panels and text
🚀 ebookcc - AI Comic Panel & Text Detector (Demo)
Welcome to the AI vision core demo for ebookcc! This Space hosts a custom-trained YOLO26n-seg instance segmentation model, optimized specifically for comics, manga, manhwa, and standard book layouts.
🌟 Live Demo Features
- Panel Detection: Automatically identifies the boundaries of comic frames, preparing them for reading-flow re-layout.
- Text Bubble Segmentation: Pinpoints all speech bubbles and on-page text areas precisely, making them ready for seamless AI OCR integration.
🛠️ Tech Stack & Background
This web demo is part of the ebookcc.com project.
- Backend Model: Fine-tuned based on Ultralytics YOLO11m-seg.
- Frontend Deployment: The full Web App runs on the user's browser via TF.js and deeply integrates with Cloudflare Workers to reduce server costs.
📝 How to Use This Model Locally
If you want to call this model in your own Python project, please check out our Hugging Face Model Card.
from ultralytics import YOLO
# Load the model
model = YOLO("comic-panels-and-text-detect.pt")
# Predict with optimal manga settings
results = model.predict("comic_page.jpg", imgsz=1280, conf=0.25)
results[0].show()
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference