Active Panoramic Referring Segmentation

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: dataset.

Source: Hugging Face Hub (FudanCVL/APRS_dataset). Metadata imported from the dataset’s Hub tags.