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 [[`📕Paper`](https://arxiv.org/pdf/2306.12156.pdf)] [[`🤗HuggingFace Demo`](https://huggingface.co/spaces/An-619/FastSAM)] [[`Colab demo`](https://colab.research.google.com/drive/1oX14f6IneGGw612WgVlAiy91UHwFAvr9?usp=sharing)] [[`Replicate demo & API`](https://replicate.com/casia-iva-lab/fastsam)] [[`OpenXLab Demo`](https://openxlab.org.cn/apps/detail/zxair/FastSAM)] [[`Model Zoo`](#model-checkpoints)] [[`BibTeX`](#citing-fastsam)]
 
+[[`Label Datasets Automatically with FastSAM`](https://github.com/autodistill/autodistill-fastsam)]
+
 ![FastSAM Speed](assets/head_fig.png)
 
 The **Fast Segment Anything Model(FastSAM)** is a CNN Segment Anything Model trained using only 2% of the SA-1B dataset published by SAM authors. FastSAM achieves comparable performance with