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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
1. **Panel Detection**: Automatically identifies the boundaries of comic frames, preparing them for reading-flow re-layout.
2. **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](https://ebookcc.cptd.workers.dev/) 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](https://huggingface.co/Oliverdsfdsf/ComicPabelsAndTextDetect).
```python
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
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