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  FMARS is a large-scale dataset of Very High Resolution (VHR) remote sensing images with annotations generated using Vision Foundation Models.
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  The dataset focuses on disaster management applications and provides pre-event imagery and annotations for major crisis events worldwide from 2021 to 2023.
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  ## Dataset Features
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  - **VHR Imagery**: The dataset uses pre-event VHR satellite imagery from the [Maxar Open Data Program](https://www.maxar.com/open-data), covering a total surface area of over 200,000 km^2.
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  - **Automatic Annotations**: Annotations are generated using a novel pipeline that combines the Segment Anything Model (SAM) and GroundingDINO to extract segmentation masks for buildings, roads, and high vegetation.
 
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  FMARS is a large-scale dataset of Very High Resolution (VHR) remote sensing images with annotations generated using Vision Foundation Models.
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  The dataset focuses on disaster management applications and provides pre-event imagery and annotations for major crisis events worldwide from 2021 to 2023.
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+ - **Paper:** [https://arxiv.org/abs/2405.20109](https://arxiv.org/abs/2405.20109)
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  ## Dataset Features
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  - **VHR Imagery**: The dataset uses pre-event VHR satellite imagery from the [Maxar Open Data Program](https://www.maxar.com/open-data), covering a total surface area of over 200,000 km^2.
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  - **Automatic Annotations**: Annotations are generated using a novel pipeline that combines the Segment Anything Model (SAM) and GroundingDINO to extract segmentation masks for buildings, roads, and high vegetation.