Image Segmentation
ultralytics
English
Japanese
yolo
yolov11
manga
speech-bubble
segmentation
object-detection
computer-vision
Instructions to use juithealien/manga109-segmentation-bubble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use juithealien/manga109-segmentation-bubble with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("juithealien/manga109-segmentation-bubble", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download train_batch0.jpg from juithealien/manga109-segmentation-bubble: direct link, hf CLI and curl.
- Browser
- Download file 814 kB
-
https://huggingface.co/juithealien/manga109-segmentation-bubble/resolve/main/train_batch0.jpg
- Command line
-
hf download hf://juithealien/manga109-segmentation-bubble/train_batch0.jpg
-
curl -L -o train_batch0.jpg https://huggingface.co/juithealien/manga109-segmentation-bubble/resolve/main/train_batch0.jpg
814 kB

- Xet hash:
- cbabb7357324e2fbc2ab7046300c41a9dfb11d2c517cb9cc516a2daedb27a037
- Size of remote file:
- 814 kB
- SHA256:
- 7e1daa1bcefe903e4bef5314272068953cd0ea803bbff201e8fd85c82eb9d2a8
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