Update README.md

README.md

@@ -10,4 +10,37 @@ pinned: false
 license: apache-2.0
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Fast Segment Anything
+
+Official PyTorch Implementation of the <a href="https://github.com/CASIA-IVA-Lab/FastSAM">.
+
+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](LICENSE).
+
+
+## Acknowledgement
+
+- [Segment Anything](https://segment-anything.com/) provides the SA-1B dataset and the base codes.
+- [YOLOv8](https://github.com/ultralytics/ultralytics) provides codes and pre-trained models.
+- [YOLACT](https://arxiv.org/abs/2112.10003) provides powerful instance segmentation method.
+- [Grounded-Segment-Anything](https://huggingface.co/spaces/yizhangliu/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}
+}
+```