GeoMeld

🌍 GeoMeld Multi-Modal Earth Observation Dataset (WebDataset) GeoMeld is a large-scale multi-modal remote sensing dataset introduced in our CVPRW 2026 paper on semantically grounded foundation modeling. GeoMeld contains approximately 2.5 million spatially aligned samples spanning heterogeneous sensing modalities and spatial resolutions, paired with semantically grounded captions generated through an agentic pipeline. The dataset is designed to support multimodal representation… See the full description on the dataset page:

Source: Hugging Face Hub (vimageiitb/GeoMeld). Metadata imported from the dataset’s Hub tags.