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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,412 datasets
StereoDataset is a synthetic multiview stereo dataset rendered in Unreal Engine. Each scene combines a map, a character mesh, an animation clip, a validated spawn location, and a camera trajectory. The dataset was created by 'stereo-dataset' and was last updated on the Hugging Face platform in May 2026.
Experimental results for surface roughness, cutting force, and cutting power for various textured tools. The dataset is provided by Palanisamy Angappan and was last updated on May 12, 2026. It is stored in an XLS file with a size of 9.5 KB and is licensed under CC-BY-4.0.
176 chest and abdomen CT scans feature manually-traced voxel-wise mediastinal and abdominal lymph node segmentations. The collection underpins the Roth 2014 detection benchmark and Seff 2015 segmentation benchmark. It remains a widely-cited reference for thoracic-abdominal lymph node computer-aided detection work.
Keppel Bay, on the central coast of Queensland, Australia, contains a 1500-year record of coastal sediment accumulation preserved in beach deposits. The dataset, provided by Geoscience Australia, includes analyses of ridge morphology, sediment texture, and geochemistry, with a chronology built using optically stimulated luminescence (OSL) dating. The results suggest changes in shoreline accumulation rates, sediment sources, and minor relative sea-level falls.
Geoscience Australia produced free Web-viewable 3D models of coastal data for the Keppel Bay and Fitzroy River area in Queensland, Australia. The models integrate spatial data including digital elevation models, multibeam bathymetry, sediment samples, benthic habitats, and satellite imagery. They use the open-source ISO standard Virtual Reality Modelling Language (VRML) file format for easy web transfer.
The Paterson National Geoscience Agreement project used 3D Geomodeller software to construct a three-dimensional volumetric model of the Cottesloe Syncline district in the northwest Paterson Orogen of Western Australia. The model was built by project members and specialists from Geoscience Australia, with results exported to Virtual Reality Modelling Language (VRML) for broad accessibility. This report documents the model building process and the geological insights gained from the exercise.
Karla Negrete's 2026 figshare publication presents a proof-of-concept automated image classification pipeline for detecting invasive spotted lanternfly egg masses. The method uses a support vector machine trained on 12 selected spatial texture features, achieving a mean Matthews Correlation Coefficient of 0.881 in cross-validation. The work aims to support scalable, low-cost surveillance in high-risk transport corridors.
A numerical solution dataset for an Extended Blasius Problem, generated using a non-iterative transformation method. The method, originally defined by Töpfer in 1912, solves a boundary value problem via a related initial value problem and rescaling. Numerical results were improved using mesh refinement and Richardson's extrapolation, with six decimal places verified as correct.
35 medical interns in Iran participated in a pilot randomized controlled trial comparing virtual reality with eye-tracking feedback to conventional mannequin-based training. The study, authored by Navaz Emadi and hosted on Jeehp Dataverse, measured changes in situational awareness, Advanced Trauma Life Support performance, and error scores. Data was last updated on May 20, 2026.
6.29 terabytes of raw elevation point cloud data derived from overlapping aerial photography stereo strips. The Government of Ontario's Geospatial Ontario program created this dataset using a pixel-autocorrelation process, with the record last updated in March 2026. Points are unclassified but include RGB color values extracted from the source imagery.
239.3 hours of first-person video data for egocentric vision and tracking. The dataset features multimodal data from egocentric views, including annotations and motion capture for extracting 3D poses, and provides detailed 3D objects and scenes using visual data from VR headsets. It was authored by UniDataPro and last updated on 2026-05-12.
Approximately 300 km offshore of San Francisco, this dataset provides high-resolution airborne LiDAR point clouds from the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE). It captures ocean surface topography during a pilot campaign in October 2021 and two intensive operating periods in Fall 2022 and Spring 2023. The data aims to understand how short-scale ocean dynamics influence vertical exchanges of physical and biological variables.
Over 15,000 seabed samples provide textural composition, particle size statistics, and carbonate values for the Australian marine region. Geoscience Australia extracted this data from its Marine Sediment Database, which holds approximately 2.6 million entries. The dataset was updated in April 2026.
A dataset for training and evaluating object recognition and segmentation models on infrastructure relevant to blind and low-vision (BLV) navigation. It contains three configurations, including photorealistic IsaacSim renders for training and real photographs captured by the authors. The dataset was created by NavAble and last updated on May 7, 2026.
Jigang Li's study collected 482 valid survey responses from university basketball players. The dataset analyzes the mediated chain effect of VR technology use on training satisfaction through self-efficacy and sport engagement. It contains results from four validated scales measuring these psychological and behavioral constructs.
TerraSky3D provides multi-view reconstructions of European landmarks. The dataset was created by researchers from Graz University of Technology and Sony, and was presented at the 3DMV workshop at CVPR in 2026. It includes images collected from both aerial and ground perspectives.
RGBench Cloth Sim-to-Real (v1) contains nine carefully captured garments, each manipulated with three bimanual actions (fling, fold, grasp). The dataset provides real-world ground truth point clouds for evaluating the sim-to-real gap of cloth simulators. It was released by author hwk0809 as part of the AAAI 2026 paper Real Garment Benchmark (RGBench).
A 1500-year chronology of coastal sediment accumulation is preserved in beach deposits at Keppel Bay, Queensland, Australia. The dataset likely contains measurements of ridge morphology, sediment texture, and geochemistry, built using optically stimulated luminescence (OSL) dating. It was contributed by the Australian Ocean Data Network and last updated in April 2026.
A synthetic dataset of 10,000 images in .jpg format, each with a resolution of 64 by 64 pixels. It contains 1,000 images for each digit from 0 to 9, all presented on a black background. The dataset was created by author MishaGGG and was last updated on the platform in June 2026.
3DCode is an open-source reproduction of the 3DCodeBench academic benchmark. It contains datasets for evaluating models that generate Blender 5.0 Python code to procedurally build specific 3D objects. The benchmark includes 212 categories, each with a canonical seed, a reference factory, and two text prompts.