The Largest-Scale Globally: Realsee Open-Sources Indoor 3D Dataset Realsee3D

Core Insights - Realsee has launched Realsee3D, a dataset containing 10,000 indoor 3D scenes, aimed at supporting academic research and non-commercial purposes, potentially making it the largest spatial 3D dataset globally [1][3] - The dataset is designed to enhance research in indoor 3D perception, reconstruction, and scene understanding, addressing the existing gap in high-quality spatial data [3][6] Dataset Features - The Realsee3D dataset includes 10,000 unique indoor scenes, comprising 95,962 rooms and 299,073 viewpoints/RGB-D pairs, providing a rich resource for researchers [8] - It features panoramic RGB-D captures with complete room-level coverage and comprehensive annotations, including CAD drawings, floor plans, and semantic segmentation [8] - The dataset consists of 1,000 real-world scenes with diverse layouts and decoration styles, along with 9,000 procedurally generated scenes using over 100 designer-curated style templates [8] Research Applications - The dataset is suitable for core research directions in spatial intelligence, such as geometric reconstruction, multi-modal learning, and embodied AI, encouraging global researchers and developers to explore the future of spatial intelligence [6][7]