Update README.md

README.md

@@ -40,6 +40,46 @@ LMMRotate is a technical practice to fine-tune Large Multimodal language Models
 
 <img src="https://github.com/user-attachments/assets/d34e4c0c-9e04-446e-a511-2e7005e32074" alt="framework" width="100%" />
 
+The folder is named `{base_model}_vis{vision_input_size}-lang{max_language_input_length}_{dataset_name}-{annotation_version}_b{samples_per_gpu}x{num_gpus}-{num_epoch}e-{note}`
+
+For example:
+
+> `florence-2-b_vis1024-lang2048_dota1-train-v2_b2x16-100e-slurm-zero2`:
+> - **base_model**: Microsoft/Florence-2-base
+> - **vision input size**: 1024 \times 1024
+> - **max language input length**: 2048
+> - **aerial detection source dataset name**: dota-train (`train` split of `split_ss_dota`)
+> - **annotation version**: v2 (the users should ignore this)
+> - **batch size and resources**: 2x16gpus = 32
+> - **schedule**: 100 epochs
+> - **note**: the model is trained on a slurm cluster and accelerated with DeepSpeed ZeRO2
+
+## Downloading Guide
+
+You can download with your web browser on [the file page](https://huggingface.co/datasets/Qingyun/Florence-2-models-lmmrotate/tree/main).
+
+We recommand downloading in terminal using huggingface-cli (`pip install --upgrade huggingface_cli`). You can refer to [the document](https://huggingface.co/docs/huggingface_hub/guides/download) for more usages.
+
+```
+# Set Huggingface Mirror for Chinese users (if required):
+export HF_ENDPOINT=https://hf-mirror.com 
+# Download a certain checkpoint:
+huggingface-cli download Qingyun/Florence-2-models-lmmrotate <checkpoint_folder_name> --repo-type model --local-dir checkpoint/
+# If any error (such as network error) interrupts the downloading, you just need to execute the same command, the latest huggingface_hub will resume downloading.
+```
+
 ## Detection Performance
 
-![](https://github.com/user-attachments/assets/f61edcd2-1dee-4bdb-8a1e-c8dd1cf163a1)
+![](https://github.com/user-attachments/assets/f61edcd2-1dee-4bdb-8a1e-c8dd1cf163a1)
+
+## Cite
+
+LMMRotate paper:
+```
+@article{li2025lmmrotate,
+  title={A Simple Aerial Detection Baseline of Multimodal Language Models},
+  author={Li, Qingyun and Chen, Yushi and Shu, Xinya and Chen, Dong and He, Xin and Yu Yi and Yang, Xue },
+  journal={arXiv preprint arXiv:2501.09720},
+  year={2025}
+}
+```