Instructions to use M-Hamdy/SurgBox-Cross-Dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use M-Hamdy/SurgBox-Cross-Dataset 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("M-Hamdy/SurgBox-Cross-Dataset", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
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These detectors were trained on Cholec80 and CholecSeg8k, which are distributed by their authors under their own terms. They may be used for non-commercial purposes only (CC BY-NC-SA 4.0), and their use is also subject to the Ultralytics license (AGPL-3.0).
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