Git-RSCLIP-ViT-L-16

This model is a mirror/redistribution of the original lcybuaa/Git-RSCLIP model.

Original Repository and Links

• Original Hugging Face Model: lcybuaa/Git-RSCLIP
• Official GitHub Repository: Chen-Yang-Liu/Text2Earth
• Paper: Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model

Description

Git-RSCLIP is pre-trained on the Git-10M dataset, a global-scale remote sensing image-text pair dataset consisting of 10 million pairs. It uses a structure similar to SigLIP and is designed for tasks like image-text retrieval and zero-shot classification in the remote sensing domain.

Citation

If you use this model in your research, please cite the original work:

@misc{liu2025text2earthunlockingtextdrivenremote,
      title={Text2Earth: Unlocking Text-driven Remote Sensing Image Generation with a Global-Scale Dataset and a Foundation Model}, 
      author={Chenyang Liu and Keyan Chen and Rui Zhao and Zhengxia Zou and Zhenwei Shi},
      year={2025},
      eprint={2501.00895},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2501.00895}, 
}