Omkar2118/datasets huggingface dataset:
GeoJEPAD
Full name: GeoJEPA Dataset

GeoJEPAD is a multimodal dataset combining OpenStreetMap (OSM) data (attributes and geometries) with high-resolution aerial imagery from diverse urban areas.  
Sourced from NAIP and OSM and then processed, tiled, and cropped. Geometries and relations represented as graphs with optional visibility edges.

Motivation:

Created to reduce biases introduced by traditional augmentation and sampling techniques, the dataset supports unbiased self-supervised multimodal geospatial learning.

Potential Use Cases:	
- Self-supervised multimodal representation learning.
- Semantic segmentation of aerial imagery.
- Geospatial retrieval and urban analytics tasks.
- Benchmarking multimodal fusion models like JEPA.

Introducing paper: GeoJEPA: Towards Eliminating Augmentation- and Sampling Bias in Multimodal Geospatial Learning