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rafiibnsultan/PAVE

PAVE: Pedestrian Accessibility and Visual-grounded Evaluation PAVE is a structured vision–language dataset introduced in the CVPR 2026 paper: WalkGPT: Grounded Vision–Language Conversation with Depth-Aware Segmentation for Pedestrian Navigation(Accepted at CVPR 2026)Paper link: https://arxiv.org/abs/2603.10703 PAVE is a spatially grounded VQA benchmark for accessibility-aware reasoning in real-world pedestrian environments, unifying language understanding, pixel-level… See the full description on the dataset page: https://huggingface.co/datasets/rafiibnsultan/PAVE.

Author / organizationrafiibnsultan
License (as declared)cc-by-4.0
Downloads137 (as reported by Hugging Face)
Likes0
Created22 February 2026
Last updated at source12 March 2026
vision-languagemultimodalgroundedspatial-reasoningaccessibilitynavigationsegmentationdepth-awareVQApedestrianCVPR-2026real-worldgrounded-conversationurban-scenes
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