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--- |
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license: apache-2.0 |
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pipeline_tag: mask-generation |
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library_name: sam2 |
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--- |
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MedSAM2 Small - CoreML Version |
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MedSAM2 Small is a specialized version of SAM2 for medical image segmentation tasks, now available for use with CoreML. This model is optimized to work seamlessly on Apple devices, enabling efficient, on-device predictions. To get started, follow the instructions below. |
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For detailed information, refer to the SAM2 paper and the official repository. The official code is publicly release in this [repo](https://github.com/facebookresearch/segment-anything-2/). |
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## Usage |
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1. Download the .zip files containing the CoreML model from the repo. |
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2. Extract the contents of the .zip file to a directory of your choice. |
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3. Push to [SAM2 Studio](https://github.com/huggingface/sam2-studio) |
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4. Open SAM2 Studio Repo on your Apple device using XCode. |
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### Citation |
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To cite the paper, model, or software, please use the below: |
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``` |
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@article{ravi2024sam2, |
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title={SAM 2: Segment Anything in Images and Videos}, |
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author={Ravi, Nikhila and Gabeur, Valentin and Hu, Yuan-Ting and Hu, Ronghang and Ryali, Chaitanya and Ma, Tengyu and Khedr, Haitham and R{\"a}dle, Roman and Rolland, Chloe and Gustafson, Laura and Mintun, Eric and Pan, Junting and Alwala, Kalyan Vasudev and Carion, Nicolas and Wu, Chao-Yuan and Girshick, Ross and Doll{\'a}r, Piotr and Feichtenhofer, Christoph}, |
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journal={arXiv preprint arXiv:2408.00714}, |
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url={https://arxiv.org/abs/2408.00714}, |
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year={2024} |
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} |
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``` |
