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README.md
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license: apache-2.0
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[๐ Paper](https://arxiv.org/abs/2503.19740) - [๐ค GitHub](https://github.com/visurg-ai/LEMON)
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We provide the models used in our data curation pipeline in [๐ LEMON: A Large Endoscopic MONocular Dataset and Foundation Model for Perception in Surgical Settings](https://arxiv.org/abs/2503.19740) to assist with constructing the LEMON dataset (for more details about the LEMON dataset and our
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}
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```
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This Hugging Face repository includes video storyboard classification models, frame classification models, and non-surgical object detection models. The model loader file can be found at [model_loader.py](https://huggingface.co/visurg/Surg3M_curation_models/blob/main/model_loader.py)
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The data curation pipeline leading to the clean videos in the LEMON dataset is as follows:
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<div align="center">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/67d9504a41d31cc626fcecc8/
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</div>
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Usage
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license: apache-2.0
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<div align="center">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/67d9504a41d31cc626fcecc8/ilVOu0l_rENmpFLrNDsBJ.png"> </img>
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</div>
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[๐ Paper](https://arxiv.org/abs/2503.19740) - [๐ค GitHub](https://github.com/visurg-ai/LEMON)
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We provide the models used in our data curation pipeline in [๐ LEMON: A Large Endoscopic MONocular Dataset and Foundation Model for Perception in Surgical Settings](https://arxiv.org/abs/2503.19740) to assist with constructing the LEMON dataset (for more details about the LEMON dataset and our
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}
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```
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This Hugging Face repository includes video storyboard classification models, frame classification models, and non-surgical object detection models. The model loader file can be found at [model_loader.py](https://huggingface.co/visurg/Surg3M_curation_models/blob/main/model_loader.py)
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The data curation pipeline leading to the clean videos in the LEMON dataset is as follows:
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<div align="center">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/67d9504a41d31cc626fcecc8/jzw36jlPT-V_I-Vm01OzO.png"> </img>
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</div>
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Usage
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