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Datasets:
PSImera
/
manga_bubbles_detect

Tasks:
Object Detection
Languages:
Japanese
Size:
1K<n<10K
Tags:
manga
speech-bubble
comics
yolo
computer-vision
object-detection
License:
Dataset card Files
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Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    RuntimeError
Message:      Dataset scripts are no longer supported, but found manga_bubbles_detect.py
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                      path=dataset,
                      token=hf_token,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                      path,
                  ...<4 lines>...
                      **download_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1217, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1177, in dataset_module_factory
                  raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
              RuntimeError: Dataset scripts are no longer supported, but found manga_bubbles_detect.py

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Manga Speech Bubble Detection Dataset

Dataset for detecting speech bubble locations in manga pages.
2 671 images — 1 class: location-of-bubbles.

Dataset Structure

Split Images Labels
train 2 056 2 056
val 404 404
test 211 211 
images/
  train/   # 2056 × .jpg
  val/     # 404  × .jpg
  test/    # 211  × .jpg
labels/    # YOLO .txt, mirrors images/
dataset.yaml
manga_bubbles_detect.py   # HF loading script

Annotation Format

YOLO — each .txt contains one row per bounding box:

<class_id> <cx> <cy> <w> <h>   # normalized [0..1], class 0 = location-of-bubbles

When loaded via load_dataset() the script converts bboxes to COCO format (absolute pixels [x_min, y_min, width, height]) and also exposes the raw YOLO values in bbox_yolo.

Usage 

from datasets import load_dataset

ds = load_dataset("PSImera/manga_bubbles_detect")

sample = ds["train"][0]
print(sample["image_id"])          # e.g. "img_000001"
print(sample["width"], sample["height"])
for obj in sample["objects"]:
    print(obj["category"], obj["bbox"])   # [x_min, y_min, w, h] absolute px

Sources

  1. Roboflow — manga-6puie (pre-labeled)
  2. Google Drive / ikefir34/DLS_Manga_Translator — Drive · GitHub (labeled manually in CVAT)

License

CC BY-NC 4.0 — non-commercial use only.

The underlying manga images remain the intellectual property of their respective publishers. This dataset is intended solely for academic research and non-commercial purposes. Do not use for commercial applications without obtaining rights from the original copyright holders.
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