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 create and convert Ebook. Predict 📊 Model Details Task : Instance Segmentation Classes : Panel : Comic frame borders. Text : Speech bubbles and on-page text. Input Size :...
--- 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()
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 create and convert Ebook. Predict…
