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metadata
title: FastSAM
emoji: 🐠
colorFrom: pink
colorTo: indigo
sdk: gradio
sdk_version: 4.36.1
app_file: app_gradio.py
pinned: false
license: apache-2.0
Fast Segment Anything
Official PyTorch Implementation of the .
The Fast Segment Anything Model(FastSAM) is a CNN Segment Anything Model trained by only 2% of the SA-1B dataset published by SAM authors. The FastSAM achieve a comparable performance with the SAM method at 50× higher run-time speed.
License
The model is licensed under the Apache 2.0 license.
Acknowledgement
- Segment Anything provides the SA-1B dataset and the base codes.
- YOLOv8 provides codes and pre-trained models.
- YOLACT provides powerful instance segmentation method.
- Grounded-Segment-Anything provides a useful web demo template.
Citing FastSAM
If you find this project useful for your research, please consider citing the following BibTeX entry.
@misc{zhao2023fast,
title={Fast Segment Anything},
author={Xu Zhao and Wenchao Ding and Yongqi An and Yinglong Du and Tao Yu and Min Li and Ming Tang and Jinqiao Wang},
year={2023},
eprint={2306.12156},
archivePrefix={arXiv},
primaryClass={cs.CV}
}