GeoJEPAD

홈페이지 · 논문 1편

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.