Instructions to use erayyapagci/yolo26n-question-segmentation-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use erayyapagci/yolo26n-question-segmentation-v2 with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("erayyapagci/yolo26n-question-segmentation-v2") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Upload model card, weights, and evaluation artifacts
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README.md
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- Less false positives on pages with no questions.
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- Better recovery of harder placements such as one-row questions and questions that occupy an entire column.
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Example page
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## Usage
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