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FudanCVL/APRS_dataset

APRS Dataset Dataset Description APRS (Active Panoramic Referring Segmentation) is a large-scale benchmark dataset for active perception in 360° panoramic environments. Unlike passive referring segmentation that processes static images, APRS requires agents to actively explore continuous panoramic scenes by adjusting viewing directions to seek and segment targets based on natural language instructions. Dataset Summary 🎯 7,420 samples across 4… See the full description on the dataset page: https://huggingface.co/datasets/FudanCVL/APRS_dataset.

Author / organizationFudanCVL
License (as declared)mit
Downloads1.2K (as reported by Hugging Face)
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Created9 July 2026
Last updated at source9 July 2026
panoramic-visionactive-perceptionreferring-segmentation360-degreespatial-reasoning
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