create model card

README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+datasets:
+- vikki23/LAS
+---
+# Model Card for LandSegmenter
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+This repo provides the weights for LandSegmenter, a task-specific Foundation Model (FM) for Land Use and Land Cover (LULC) mapping, characterized by high flexibility in both inputs (multi-band, multi-resolution imagery) and outputs (customizable category definitions), supporting both zero-shot inference and fine-tuning.
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+LandSegmenter is the first LULC FM trained with LAS, designed with high flexibility to handle diverse input modalities and customizable category settings. It builds on [SAM2](https://github.com/facebookresearch/sam2)'s backbone for robust multi-scale spatial representation, further enhanced by multispectral features from [DOFA](https://github.com/zhu-xlab/DOFA) and high-frequency components for refined structural details. A text-based prompter derived from [GeoRSCLIP](https://github.com/om-ai-lab/RS5M), which takes class names as inputs, further strengthens its semantic understanding, enabling concept-aware and adaptable segmentation across heterogeneous data sources
+
+
+- **Developed by:** Chenying Liu, Wei Huang, Xiao Xiang Zhu
+- **Funded by:** Munich Center for Machine Learning (MCML) 
+
+### Model Sources
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [GitHub](https://github.com/zhu-xlab/LandSegmenter)
+- **Paper [optional]:** [arXiv](https://arxiv.org/abs/2511.08156)
+
+## Uses
+
+Please refer to the GitHub repository for implementation details.
+
+## Model Card Authors
+
+Chenying Liu
+
+## Model Card Contact
+
+chenying.liu@tum.de; chenying.liu023@gmail.com