Coreml Sam2.1 Baseplus
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. See the SAM 2 paper for more information.
Model source
- Kind
- Other
- File size
- 2.00–146 MB
- Version
- vRevision e35bf3b
- Updated
- Oct 20, 2026
- Downloads
- 1.5K
- Source
- Hugging Face
Source description
SAM 2.1 BasePlus Core ML
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. See the SAM 2 paper for more information.
This is the Core ML version of SAM 2.1 BasePlus, and is suitable for use with the SAM2 Studio demo app. It was converted in float16 precision using this fork of the original code repository.
Download
Install huggingface-cli
brew install huggingface-cli
huggingface-cli download --local-dir models apple/coreml-sam2.1-baseplus
Citation
To cite the paper, model, or software, please use the below:
@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}
}
Sources
1 source
Sources
1 sourceVerified Oct 20
Download files
Model artifacts
3 artifacts
Model artifacts
3 artifactsSAM2_1BasePlusImageEncoderFLOAT16.mlpackage/Data/com.apple.CoreML/weights/weight.bin
bin · 146 MB · SHA-256 809c1b82d3a4…fe8d · Hugging Face
Download fileSAM2_1BasePlusMaskDecoderFLOAT16.mlpackage/Data/com.apple.CoreML/weights/weight.bin
bin · 9.75 MB · SHA-256 809bf07f9e80…f1e5 · Hugging Face
Download fileSAM2_1BasePlusPromptEncoderFLOAT16.mlpackage/Data/com.apple.CoreML/weights/weight.bin
bin · 2.00 MB · SHA-256 ca8d97076ef4…bbb6 · Hugging Face
Download fileSource excerpts
3 excerpts
Source excerpts
3 excerpts--- license: apache-2.0 pipeline_tag: mask-generation library_name: coreml --- # SAM 2.1 BasePlus Core ML 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. See the [SAM 2 paper](https://arxiv.org/abs/2408.00714) for more information. This is the Core ML version of [SAM 2.1 BasePlus](https://huggingface.co/facebook/sam2.1-hiera-base-plus), and is suitable for use with the [SAM2 Studio demo app](https://github.com/huggingface/sam2-studio). It was converted in `float16` precision using [this fork](https://github.com/huggingface/segment-anything-2/tree/coreml-conversion) of the original code repository. ## Download Install `huggingface-cli` ```bash brew install huggingface-cli ``` ```bash huggingface-cli download --local-dir models apple/coreml-sam2.1-baseplus ``` ## Citation To cite the paper, model, or software, please use the below: ``` @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} } ```
Source context: 1493 downloads · 3 likes · Pipeline mask-generation · Library coreml · Repo apple/coreml-sam2.1-baseplus
Source context: 221 downloads · 3 likes · Pipeline mask-generation · Library coreml · Repo apple/coreml-sam2.1-baseplus
