PanoEnv QA: A Large Scale Geometry Grounded Panoramic VQA Benchmark for 3D Spatial Intelligence 📖 Overview PanoEnv QA is a large scale Visual Question Answering benchmark designed specifically to probe 3D spatial intelligence on Equirectangular Projection (ERP) panoramas. Built from synthetic but photorealistic 3D environments (TartanAir), PanoEnv QA offers over 14.8K questions spanning five categories that progressively require stronger 3D understanding—all grounded in precise 3D annotations (depth, semantics, and 3D bounding boxes). Key Features Geometry Grounded : All QA pairs are programmatically derived from physical ground truth (depth maps, semantic segmentation, 3D bounding boxes) 360° Panoramic : Targets the unique challenges of ERP images including geometric distortions and multi view reasoning RL Ready : Designed to serve both as a reliable evaluation benchmark and as a source of verifiable supervision signals for reinforcement learning Diverse & Balanced : 60 diverse environments with balanced question distribution across 5 major categories 📊 Dataset Statistics Split Environments Images QA Pairs : : : : : : : : Train 60 415 10,340 Val 60 60 1,496 Test 60 120 2,991 Tot…
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