PSImera/manga_bubbles_detect
Updated โข 17
How to use PSImera/manga_bubbles_detect with ultralytics:
from ultralytics import YOLOvv8
model = YOLOvv8.from_pretrained("PSImera/manga_bubbles_detect")
source = 'http://images.cocodataset.org/val2017/000000039769.jpg'
model.predict(source=source, save=True)YOLOv8 model for detecting speech bubbles in manga pages. Trained to locate bubble bounding boxes (single class location-of-bubbles).
Validation mAP50 โ 0.977
Part of Manga Translate โ a full manga translation pipeline (bubble detection โ OCR โ inpaint โ LLM โ render).
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 โ the model is downloaded from here on first run.
Trained on a combined dataset published at PSImera/manga_bubbles_detect:
Training scripts and reports: training/