ShapeNet is a richly-annotated, large-scale dataset of 3D shapes designed to enable research in computer graphics, computer vision, robotics, and related disciplines.
ShapeNet is a collaborative research project by Princeton, Stanford, and TTIC that provides a comprehensive dataset of 3D shapes. It offers researchers access to annotated 3D models for use in various fields like computer graphics, computer vision, and robotics. The dataset includes ShapeNetCore, featuring single, clean 3D models with verified category and alignment annotations covering 55 common object categories. ShapeNetSem, a smaller but densely annotated subset, offers models with real-world dimensions, material composition estimates, and volume/weight estimates. ShapeNet aims to accelerate research by providing a standardized, large-scale resource for training and evaluating 3D shape analysis algorithms and models. Access to ShapeNet requires user registration, and the data is available for download.
ShapeNet is a collaborative research project by Princeton, Stanford, and TTIC that provides a comprehensive dataset of 3D shapes.
Explore all tools that specialize in providing a large-scale dataset of 3d shapes for research. This domain focus ensures ShapeNet delivers optimized results for this specific requirement.
Explore all tools that specialize in enabling the development of 3d object recognition algorithms. This domain focus ensures ShapeNet delivers optimized results for this specific requirement.
Explore all tools that specialize in supporting research in 3d reconstruction and modeling. This domain focus ensures ShapeNet delivers optimized results for this specific requirement.
Explore all tools that specialize in facilitating the creation of ai models for robotics. This domain focus ensures ShapeNet delivers optimized results for this specific requirement.
Explore all tools that specialize in providing annotated data for training machine learning models. This domain focus ensures ShapeNet delivers optimized results for this specific requirement.
Explore all tools that specialize in offering a standardized benchmark for evaluating 3d shape analysis techniques. This domain focus ensures ShapeNet delivers optimized results for this specific requirement.
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