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README.md

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 license: apache-2.0
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+# GeoChat-7B
+
+GeoChat is the first grounded Large Vision Language Model, specifically tailored to Remote Sensing(RS) scenarios. Unlike general-domain models, GeoChat excels in handling high-resolution RS imagery, employing region-level reasoning for comprehensive scene interpretation. Leveraging a newly created RS multimodal dataset, GeoChat is fine-tuned using the LLaVA-1.5 architecture. This results in robust zero-shot performance across various RS tasks, including image and region captioning, visual question answering, scene classification, visually grounded conversations, and referring object detection.
+
+<!-- Provide a longer summary of what this model is. -->
+- **Developed by MBZUAI**
+
+### Model Sources
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** https://github.com/mbzuai-oryx/GeoChat
+- **Paper:** https://arxiv.org/abs/2311.15826
+
+**BibTeX:**
+
+```bibtex
+@misc{kuckreja2023geochat,
+      title={GeoChat: Grounded Large Vision-Language Model for Remote Sensing}, 
+      author={Kartik Kuckreja and Muhammad Sohail Danish and Muzammal Naseer and Abhijit Das and Salman Khan and Fahad Shahbaz Khan},
+      year={2023},
+      eprint={2311.15826},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV}
+}  
+```
+## Authors
+Kartik Kuckreja, Muhammad Sohail
+
+## Contact
+kartik.kuckreja@mbzuai.ac.ae
+