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README.md

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 # MMS-VPR: Multimodal Street-Level Visual Place Recognition Dataset
 
-**Multimodal Street-Level Place Recognition Dataset** is a novel, open-access dataset designed to advance research in visual place recognition (VPR) and multimodal urban scene understanding. This dataset focuses on complex, fine-grained, and pedestrian-only urban environments, addressing a significant gap in existing VPR datasets that often rely on vehicle-based imagery from road networks and overlook dense, walkable spaces—especially in non-Western urban contexts.
+**Multimodal Street-Level Visual Place Recognition Dataset (MMS-VPR)** is a novel, open-access dataset designed to advance research in visual place recognition (VPR) and multimodal urban scene understanding. This dataset focuses on complex, fine-grained, and pedestrian-only urban environments, addressing a significant gap in existing VPR datasets that often rely on vehicle-based imagery from road networks and overlook dense, walkable spaces—especially in non-Western urban contexts.
 
 The dataset was collected within a ~70,800 m² open-air commercial district in Chengdu, China, and consists of: