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{"id":2301,"datatype":"1","titleimg":"https://www.nexdata.ai/shujutang/static/image/index/datatang_tuxiang_default.webp","type1":"282","type1str":null,"type2":"287","type2str":null,"dataname":"100 Million Sets of 3D Scene & Object Data","datazy":[{"title":"Data size","content":"60 million sets of real-space scene data, 40 million sets of simulated synthetic scene data, and 100,000 sets of high-quality 3D object assets"},{"title":"Data content","content":"real-space scene data contains 3D models, point cloud files, 3DGS, panoramic images, HDR panoramic images, depth maps, raw fisheye images, poses, six-view images, multi-view spatial photos, space roaming videos, object recognition data, floor plans and CAD drawings, laser reflectivity data, and multispectral sensor data; simulated synthetic data contains 3D models, scene lighting data, scene design descriptions, floor plan descriptions, panoramic and multi-view images, white-model rendering videos and trajectories, RGB rendering videos and trajectories, roaming trajectories and visualizations, metadata, depth maps, world coordinate maps, and invalid-region mask images; high-quality 3D object assets include static assets and interactive assets, and each model contains structured attributes such as category, dimension, material, and spatial position"},{"title":"Data distribution","content":"real-space scene data covers a wide range of scenarios including real estate, restaurants, cultural and museum venues, commercial retail, cultural tourism, hospitality, industrial facilities, and commercial offices; simulated synthetic scene data is reconstructed and generated based on real residential layouts; high-quality 3D object assets cover seven top-level categories, namely kitchen and bath, lighting, children's furniture, home appliances, furniture, home decor, and hard furnishings"}],"datatag":"Real Scene,Simulation Scene,Interactive Object Model","technologydoc":null,"downurl":null,"datainfo":null,"standard":null,"dataylurl":null,"flag":null,"publishtime":null,"createby":null,"createtime":null,"ext1":null,"samplestoreloc":null,"hosturl":null,"datasize":null,"industryPlan":null,"keyInformation":null,"samplePresentation":[],"officialSummary":"100 Million Sets of 3D Scene & Object Data contains 60 million sets of real-space scene data, 40 million sets of simulated synthetic scene data, and 100,000 sets of high-quality 3D object assets. The real-space scene data covers a wide range of scenarios including real estate, restaurants, cultural and museum venues, commercial retail, cultural tourism, hospitality, industrial facilities, and commercial offices; the floor plan data of simulated synthetic scenes is derived from real residential homes; high-quality 3D object assets cover seven top-level categories, namely kitchen and bath, lighting, children's furniture, home appliances, furniture, home decor, and hard furnishings, and it includes interactive object models with physical parameters. This dataset can be used for the training of embodied models.","dataexampl":null,"datakeyword":["Real Scene","Simulation Scene","Interactive Object Model","3D Scene & Object Data","nexdata"],"isDelete":null,"ids":null,"idsList":null,"datasetCode":null,"productStatus":null,"tagTypeEn":"Type","tagTypeZh":null,"website":null,"samplePresentationList":null,"datazyList":null,"keyInformationList":null,"dataexamplList":null,"bgimg":null,"datazyScriptList":null,"datakeywordListString":null,"sourceShowPage":"embodiedAi","dataShowType":"[{\"code\":\"0\",\"language\":\"ZH\"},{\"code\":\"1\",\"language\":\"ZH\"},{\"code\":\"2\",\"language\":\"EN,JP,KO\"},{\"code\":\"3\",\"language\":\"EN\"}]","productNameEn":"100 Million Sets of 3D Scene & Object Data","BGimg":"","voiceBg":["/shujutang/static/image/comm/audio_bg.webp","/shujutang/static/image/comm/audio_bg2.webp","/shujutang/static/image/comm/audio_bg3.webp","/shujutang/static/image/comm/audio_bg4.webp","/shujutang/static/image/comm/audio_bg5.webp"]}
100 Million Sets of 3D Scene & Object Data contains 60 million sets of real-space scene data, 40 million sets of simulated synthetic scene data, and 100,000 sets of high-quality 3D object assets. The real-space scene data covers a wide range of scenarios including real estate, restaurants, cultural and museum venues, commercial retail, cultural tourism, hospitality, industrial facilities, and commercial offices; the floor plan data of simulated synthetic scenes is derived from real residential homes; high-quality 3D object assets cover seven top-level categories, namely kitchen and bath, lighting, children's furniture, home appliances, furniture, home decor, and hard furnishings, and it includes interactive object models with physical parameters. This dataset can be used for the training of embodied models.
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
Specifications
Data size
60 million sets of real-space scene data, 40 million sets of simulated synthetic scene data, and 100,000 sets of high-quality 3D object assets
Data content
real-space scene data contains 3D models, point cloud files, 3DGS, panoramic images, HDR panoramic images, depth maps, raw fisheye images, poses, six-view images, multi-view spatial photos, space roaming videos, object recognition data, floor plans and CAD drawings, laser reflectivity data, and multispectral sensor data; simulated synthetic data contains 3D models, scene lighting data, scene design descriptions, floor plan descriptions, panoramic and multi-view images, white-model rendering videos and trajectories, RGB rendering videos and trajectories, roaming trajectories and visualizations, metadata, depth maps, world coordinate maps, and invalid-region mask images; high-quality 3D object assets include static assets and interactive assets, and each model contains structured attributes such as category, dimension, material, and spatial position
Data distribution
real-space scene data covers a wide range of scenarios including real estate, restaurants, cultural and museum venues, commercial retail, cultural tourism, hospitality, industrial facilities, and commercial offices; simulated synthetic scene data is reconstructed and generated based on real residential layouts; high-quality 3D object assets cover seven top-level categories, namely kitchen and bath, lighting, children's furniture, home appliances, furniture, home decor, and hard furnishings
What types of Embodied AI applications can Nexdata’s datasets support?
Nexdata’s Embodied AI datasets are designed to support a wide range of robotics and embodied intelligence applications, including robot perception, manipulation, navigation, human-robot interaction, and Vision-Language-Action (VLA) model development. Depending on the dataset, data may include multimodal video, sensor data, robot trajectories, actions, poses, and other annotations for training and evaluation.
Can Nexdata customize Embodied AI datasets based on our specific requirements?
Yes. If our off-the-shelf datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, annotation, and curation services. We can customize data based on your target robot platform, tasks, environments, sensors, data volume, annotation requirements, and model specifications, helping you build datasets tailored to your specific Embodied AI or VLA project.
Can Nexdata support large-scale Embodied AI data collection projects?
Yes. Nexdata operates an 8,000-square-meter real-world data collection dojo that enables large-scale and diverse data collection for robotics and Embodied AI applications. The facility can support customized environments, task scenarios, robot operations, and multimodal data collection, allowing us to accommodate projects with complex requirements and large data volumes.
Specifications
Sample
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