Omkar2118/datasets huggingface dataset:
SpaceNet 2
Full name: SpaceNet 2: Building Detection v2

*SpaceNet 2: Building Detection v2* - is a dataset for building footprint detection in geographically diverse settings from very high resolution satellite images. It contains over 302,701 building footprints, 3/8-band Worldview-3 satellite imagery at 0.3m pixel res., across 5 cities (Rio de Janeiro, Las Vegas, Paris, Shanghai, Khartoum), and covers areas that are both urban and suburban in nature. The dataset was split using 60%/20%/20% for train/test/validation.

The main use case for the detection of building footprints from satellite imagery is to aid foundational mapping.

Introducing paper: SpaceNet: A Remote Sensing Dataset and Challenge Series