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Yiwei-Ou/MMS-VPR

MMS-VPR: A Fine-Grained Multimodal Street-Level Visual Place Recognition Dataset and Evaluation Benchmark for Dense Pedestrian Environments Overview MMS-VPR is the first large-scale multimodal street-level visual place recognition dataset featuring comprehensive integration of images, videos, and rich textual annotations with day–night coverage and a 7-year temporal span in dense pedestrian-only environments. MMS-VPR comprises 110,529 images and 2,527 video… See the full description on the dataset page: https://huggingface.co/datasets/Yiwei-Ou/MMS-VPR.

Author / organizationYiwei-Ou
License (as declared)cc-by-nc-sa-4.0
Downloads1.1K (as reported by Hugging Face)
Likes2
Created10 May 2025
Last updated at source20 May 2026
visual-place-recognitionmultimodal-learninggraph-neural-networksurban-computingpedestrian-navigationday-night-recognitiontemporal-analysisspatial-graphgeospatialcomputer-vision
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  • 16 Oct 2026 Description: MMS-VPR: A Fine-Grained Multimodal Street-Level Visual Place Recognition Dataset and Evaluation Benchmark for Dense Pedestrian Environments Overview MMS-VPR is the first large-scale multimodal street-level visual place recognition dataset f → MMS-VPR: A Fine-Grained Multimodal Street-Level Visual Place Recognition Dataset and Evaluation Benchmark for Dense Pedestrian Environments Overview MMS-VPR is the first large-scale multimodal street-level visual place recognition dataset f

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