MMLandmarks
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资源简介：
The Multimodal Landmark dataset (MMLandmarks) is a benchmark composed of five modalities: high-resolution satellite imagery, ground-view images, textual information, geographic coordinates, and basemap images for 104k distinct landmarks. The MMLandmarks dataset has a one-to-one correspondence across every modality, which enables training and benchmarking models on various geo-spatial tasks, including cross-view satellite to ground retrieval, ground and satellite geo-localization, and zero-shot image classification.
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Harvard Dataverse创建时间：
2025-05-15
