Coreml Sam2.1 Small

🚀 SAM 2.1 Small Core ML

SAM 2 (Segment Anything in Images and Videos) is a set of foundation models from FAIR, designed to address promptable visual segmentation in images and videos. This Core ML version of SAM 2.1 Small is suitable for use with the SAM2 Studio demo app.

🚀 Quick Start

SAM 2 (Segment Anything in Images and Videos) is a collection of foundation models from FAIR that aim to solve promptable visual segmentation in images and videos. For more details, refer to the SAM 2 paper.

This is the Core ML version of SAM 2.1 Small, and it is suitable for use with the SAM2 Studio demo app. It was converted in float16 precision using this fork of the original code repository.

📦 Installation

Install huggingface-cli

brew install huggingface-cli

Download the model

huggingface-cli download --local-dir models apple/coreml-sam2.1-small

📄 License

This project is licensed under the Apache-2.0 license.

📚 Documentation

Citation

To cite the paper, model, or software, please use the following BibTeX entry:

@article{ravi2024sam2,
  title={SAM 2: Segment Anything in Images and Videos},
  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},
  journal={arXiv preprint arXiv:2408.00714},
  url={https://arxiv.org/abs/2408.00714},
  year={2024}
}