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manga_bubbles_detect
PSImera/manga_bubbles_detect
manga_bubbles_detect is a object detection model from PSImera. Use it when you need objects located in an image. It is set up for ultralytics. The card lists the license as mit.
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Repo size
29.9 MB
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Repo makeup
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.pt22.6 MB · 75%
At a glance
- Task
- Object Detection
- Library
- ultralytics
- License
- mit
- Access
- Public
- Created
- Jun 29, 2026
- Updated
- Jun 29, 2026
- SHA
- 520b2d33
Datasets
Model card
From the Hugging Face model README
manga_bubbles_detect
YOLOv8 model for detecting speech bubbles in manga pages. Trained to locate bubble bounding boxes (single class location-of-bubbles).
Validation mAP50 ≈ 0.977
Part of Manga Translate — a full manga translation pipeline (bubble detection → OCR → inpaint → LLM → render).
Usage
from ultralytics import YOLO
model = YOLO("bubbles_detect.pt")
results = model.predict("page.jpg", conf=0.25, iou=0.5, imgsz=1024)
Or use it automatically via the Manga Translate app — the model is downloaded from here on first run.
Training data
Trained on a combined dataset published at PSImera/manga_bubbles_detect:
- manga.v4i (Roboflow) — 1304/189/103 train/valid/test pages
- 1079 additional pages from DLS Manga Translator, manually corrected in CVAT
Training scripts and reports: training/
- Task
- Object Detection
- Library
- ultralytics
- License
- mit
- Created
- Jun 29, 2026
- Updated
- Jun 29, 2026