Omkar2118/datasets huggingface dataset:
BD-TypoSAT
Full name: Building Damage Typology Satellite Dataset

On Sunday, August 29, 2021, Hurricane Ida struck parts of Louisiana and Mississippi with wind gusts reaching up to 172 mph, leaving more than a million customers without electricity, including the entire New Orleans area. During the disaster, Maxar captured high spatial resolution satellite imagery (at 0.4 m/pixel) and was subsequently made publicly available. The original images were segmented into 512*512-pixel patches to maintain spatial context while enabling detailed analysis. From this process, we generated a dataset of 2,135 triplets, each containing a pre-disaster image, a post-disaster image, and a manually annotated damage categorical mask.

Introducing paper: DamageCAT: A Deep Learning Transformer Framework for Typology-Based Post-Disaster Building Damage Categorization