Qingyun/Florence-2-large-DOTA-v1.0-lmmrotate

<p align="center"> <h1 align="center">LMMRotate 🎮: A Simple Aerial Detection Baseline of Multimodal Language Models</h1> <p align="center"> <a href='https://scholar.google.com/citations?hl=en&user=TvsTun4AAAAJ' style='text-decoration: none' >Qingyun Li</a>&emsp; <a href='https://scholar.google.com/citations?user=A39S7JgAAAAJ&hl=en' style='text-decoration: none' >Yushi Chen</a>&emsp; <a href='https://www.researchgate.net/profile/Shu-Xinya' style='text-decoration: none' >Xinya Shu</a>&emsp; <a href='https://scholar.google.com/citations?hl=en&user=UzPtYnQAAAAJ' style='text-decoration: none' >Dong Chen</a>&emsp; <a href='https://scholar.google.com/citations?hl=en&user=WQgE8l8AAAAJ' style='text-decoration: none' >Xin He</a>&emsp; <a href='https://scholar.google.com/citations?user=OYtSc4AAAAAJ&hl=en' style='text-decoration: none' >Yi Yu</a>&emsp; <a href='https://yangxue0827.github.io/' style='text-decoration: none' >Xue Yang</a>&emsp; <p align='center'> If you find our work helpful, please consider giving us a ⭐! </p> </p> </p>

• —ArXiv Paper: https://arxiv.org/abs/2501.09720
• —GitHub Repo: https://github.com/Li-Qingyun/mllm-mmrotate
• —HuggingFace Page: https://huggingface.co/collections/Qingyun/lmmrotate-6780cabaf49c4e705023b8df

This repo hosts the checkpoint of Florence-2-larged trained on DOTA-v1.0 with LMMRotate. More checkpoint for aerial detection with LMMRotate in our paper can be found in this repo.

LMMRotate is a technical practice to fine-tune Large Multimodal language Models for oriented object detection as in MMRotate and hosts the official implementation of the paper: A Simple Aerial Detection Baseline of Multimodal Language Models.

<img src="https://github.com/user-attachments/assets/d34e4c0c-9e04-446e-a511-2e7005e32074" alt="framework" width="100%" />

Downloading Guide

You can download with your web browser on the file page.

We recommand downloading in terminal using huggingface-cli (pip install --upgrade huggingface_cli). You can refer to the document 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-large-DOTA-v1.0-lmmrotate --repo-type model --local-dir checkpoint/Florence-2-large-DOTA-v1.0-lmmrotate/
# 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

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}
}