Instructions to use NeuronCState/manga109-segmentation-bubble-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use NeuronCState/manga109-segmentation-bubble-onnx with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("NeuronCState/manga109-segmentation-bubble-onnx") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
license: apache-2.0
library_name: onnxruntime
pipeline_tag: image-segmentation
tags:
- onnx
- ultralytics
- yolo11
- instance-segmentation
- speech-bubble
- manga
Manga Speech Bubble Segmentation — ONNX
ONNX export of huyvux3005/manga109-segmentation-bubble.
Model
- Architecture: YOLO11n-seg
- Task: speech-bubble instance segmentation
- Classes: 1 (
speech-bubble) - Input: RGB tensor
[1, 3, 1600, 1600], float32, normalized to[0, 1] - Outputs: detection/mask coefficients
[1, 37, 52500]and mask prototypes[1, 32, 400, 400] - ONNX opset: 17
- NMS: disabled; post-processing is required
Export and validation
Exported with Ultralytics 8.4.118 on Apple Silicon using Python 3.12, then checked with ONNX Checker and executed with ONNX Runtime 1.28.0.
from ultralytics import YOLO
model = YOLO("best.pt")
model.export(
format="onnx",
imgsz=1600,
batch=1,
opset=17,
simplify=True,
dynamic=False,
nms=False,
)
Attribution and data notice
The source model credits the MangaSegmentation and Manga109 datasets. This repository contains only the exported model and no dataset images or annotations. Please review and comply with the source model and dataset terms before using this model, especially for commercial distribution.
Source model: https://huggingface.co/huyvux3005/manga109-segmentation-bubble
License
The source model card declares Apache-2.0. See the source repository and dataset terms for attribution and usage conditions.