{"id":42162,"date":"2025-12-17T08:38:00","date_gmt":"2025-12-17T08:38:00","guid":{"rendered":"https:\/\/www.prnasia.com\/story\/archive\/4849604_CN49604_0"},"modified":"2025-12-17T08:38:00","modified_gmt":"2025-12-17T08:38:00","slug":"the-largest-scale-globally-realsee-open-sources-indoor-3d-dataset-realsee3d","status":"publish","type":"post","link":"https:\/\/transmediavictoria.net.au\/?p=42162","title":{"rendered":"The Largest-Scale Globally: Realsee Open-Sources Indoor 3D Dataset Realsee3D"},"content":{"rendered":"<p><span class=\"legendSpanClass\"><span class=\"xn-location\">BEIJING<\/span><\/span>, <span class=\"legendSpanClass\"><span class=\"xn-chron\">Dec. 17, 2025<\/span><\/span> \/PRNewswire\/ &#8212; Realsee announced the official opening of Realsee3D, a dataset of 10,000 indoor 3D scenes, for academic research and non-commercial purposes.<\/p>\n<div class=\"PRN_ImbeddedAssetReference\" id=\"DivAssetPlaceHolder9278\">\n<p><a href=\"https:\/\/mma.prnasia.com\/media2\/2847511\/Realsee3D.html\" target=\"_blank\" rel=\"nofollow noopener\"><img decoding=\"async\" src=\"https:\/\/mma.prnasia.com\/media2\/2847511\/Realsee3D.jpg?p=medium600\" title=\"Realsee3D\" alt=\"Realsee3D\"><\/a><br \/><span>Realsee3D<\/span><\/p>\n<\/p><\/div>\n<p>This is potentially the world&#8217;s largest spatial 3D dataset to date, aiming to provide a high-quality data foundation for researchers and developers in the field of spatial intelligence, and accelerate the technological iteration and application implementation of the entire industry.&nbsp;<\/p>\n<p>Prior to this, Realsee released Argus 1.0, a large model for spatial depth estimation. As the first large model for spatial depth estimation that supports panoramic image input, Argus 1.0 was trained based on the 10-million-level 3D spatial database accumulated by Realsee. The Realsee3D 3D dataset opened this time is precisely a selection of high-quality samples from this massive database.&nbsp;<\/p>\n<p><b>Overview<\/b><\/p>\n<p>Realsee3D is a large-scale multi-view&nbsp;RGB-D dataset designed to advance research in indoor 3D perception, reconstruction, and scene understanding.<\/p>\n<p><b>Features<\/b><\/p>\n<ul type=\"disc\">\n<li>Large Scale: 10,000 unique indoor scenes, comprising 95,962 rooms and 299,073 viewpoints\/RGB-D pairs.<\/li>\n<li>Rich Data: Panoramic RGB-D captures with complete room-level coverage.<\/li>\n<li>Comprehensive Annotations: Includes CAD drawings, floor plans, semantic segmentation, 3D detection labels and more (forthcoming).<\/li>\n<li>Diverse Scenes: Comprising 1,000 real-world scenes with varied layouts and decoration styles, and 9,000 procedurally generated scenes utilizing over 100 designer-curated style templates, ensuring diverse furniture models and styles for robust training and testing.<\/li>\n<\/ul>\n<p><b>Data Types<\/b><\/p>\n<ul type=\"disc\">\n<li>HDR RGB Panoramic<\/li>\n<li>Depth Map<\/li>\n<li>Poses<\/li>\n<li>CAD Drawings<\/li>\n<li>Floorplans<\/li>\n<li>Segmentation<\/li>\n<li>3D object detection information<\/li>\n<\/ul>\n<p><b>Applicable Research Directions<\/b><\/p>\n<p>For a long time, research and applications in the field of spatial intelligence have faced a bottleneck challenge: there has always been a huge gap in high-quality spatial data. Relying on its technological accumulation and resource reserves in the field of 3D spatial data, Realsee is filling this gap.&nbsp;<\/p>\n<p>This dataset is suitable for core research directions in spatial intelligence such as geometric reconstruction, multi-modal learning, and embodied AI. Researchers and developers worldwide are welcome to download and use the Realsee3D 3D dataset to jointly explore the future boundaries of spatial intelligence research.&nbsp;<\/p>\n<p><b>Data Organization &amp; Access<\/b><\/p>\n<p>Currently, the Realsee3D dataset is open for application through official channels. Visit the <a href=\"https:\/\/github.com\/realsee-developer\/RealSee3D\" target=\"_blank\" rel=\"nofollow noopener\">Realsee GitHub<\/a> repository to access it:&nbsp;<\/p>\n<p><a href=\"https:\/\/github.com\/realsee-developer\/RealSee3D\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/github.com\/realsee-developer\/RealSee3D<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>BEIJING, Dec. 17, 2025 \/PRNewswire\/ &#8212; Realsee announced the official opening of Realsee3D, a dataset of 10,000 indoor 3D scenes, for academic research and non-commercial purposes. Realsee3D This is potentially the world&#8217;s largest spatial 3D dataset to date, aiming to provide a high-quality data foundation for researchers and developers in the field of spatial intelligence, [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-42162","post","type-post","status-publish","format-standard","hentry","category-business-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The Largest-Scale Globally: Realsee Open-Sources Indoor 3D Dataset Realsee3D - My Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/transmediavictoria.net.au\/?p=42162\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Largest-Scale Globally: Realsee Open-Sources Indoor 3D Dataset Realsee3D - My Blog\" \/>\n<meta property=\"og:description\" content=\"BEIJING, Dec. 17, 2025 \/PRNewswire\/ &#8212; Realsee announced the official opening of Realsee3D, a dataset of 10,000 indoor 3D scenes, for academic research and non-commercial purposes. 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