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.
- Developed by MBZUAI
Model Sources
- Repository: https://github.com/mbzuai-oryx/GeoChat
- Paper: https://arxiv.org/abs/2311.15826
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