Instructions to use Oliverdsfdsf/comic-panels-text-detect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Oliverdsfdsf/comic-panels-text-detect with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("Oliverdsfdsf/comic-panels-text-detect") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
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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.
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## 🚀 Usage in ebookcc
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This model powers [ebookcc](https://ebookcc.
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## Predict
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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.
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## 🚀 Usage in ebookcc
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This model powers [ebookcc](https://ebookcc.com), an automated tool for comic translation and layout analysis.
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## Predict
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