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  license: apache-2.0
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  ---
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  [๐Ÿ“š Paper](https://arxiv.org/abs/2503.19740) - [๐Ÿค– GitHub](https://github.com/visurg-ai/LEMON)
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  We provide the models used in our data curation pipeline in [๐Ÿ“š 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/yj2S0GMJm2C2AYwbr1p6G.png"> </img>
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  </div>
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  Usage
 
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  license: apache-2.0
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  ---
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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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  [๐Ÿ“š Paper](https://arxiv.org/abs/2503.19740) - [๐Ÿค– GitHub](https://github.com/visurg-ai/LEMON)
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  We provide the models used in our data curation pipeline in [๐Ÿ“š 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