ComicPabelsAndTextDetect
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.
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 11,8 MB
- Versão
- vRevision c5469f5
- Atualizado
- 11 de out. de 2026
- Publicador
- @Oliverdsfdsf
- Downloads
- 0
- Fonte
- Hugging Face
Descrição da fonte
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 create and convert Ebook.
Predict
predict image
📊 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.safetensors')
# Predict
results = model.predict(source='comic_page.jpg', conf=0.25, imgsz=1280)
# Show results
results[0].show()
Fontes
1 fonte
Fontes
1 fonteVerificado 6 de ago.
Artefatos de modelo
1 artefato
Artefatos de modelo
1 artefatocomic-panels-and-text-detect.safetensors
safetensors · 11,8 MB · SHA-256 145fd5a31448…a620 · Hugging Face
BaixarTrechos de fonte
3 trechos
Trechos de fonte
3 trechos--- 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()
Source context: 0 downloads · 0 likes · Library ultralytics · Repo Oliverdsfdsf/comic-panels-text-detect
Source context: 0 downloads · 0 likes · Library ultralytics · Repo Oliverdsfdsf/ComicPabelsAndTextDetect
