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PSImera / manga_bubbles_detect
Model's Last Updated: June 29 2026
object-detection
Introduction of manga_bubbles_detect
Model Details of manga_bubbles_detect
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/
Runs of PSImera manga_bubbles_detect on huggingface.co
86
Total runs
10
24-hour runs
13
3-day runs
27
7-day runs
-40
30-day runs
More Information About manga_bubbles_detect huggingface.co Model
Url of manga_bubbles_detect
manga_bubbles_detect huggingface.co Url
Provider of manga_bubbles_detect huggingface.co
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