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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,020 datasets
A synthetic dataset generated to mirror key statistical properties of original data, created by Yu Chen. It is a small dataset, sized at 30.1 KB, and is licensed under CC BY 4.0. The dataset was last updated on March 24, 2026.
Crowd-3DGS is a single-scene video-derived dataset capturing a real-world crowd protest, intended for 3D scene reconstruction and novel view synthesis. The dataset, created by author siyah1, includes high- and low-resolution image sets, COLMAP sparse reconstruction, stereo depth maps, and ready-to-run COLMAP scripts. It was last updated on March 23, 2026.
NASA provides a detailed 3D model of the Viking Lander spacecraft. The model contains 99,526 polygons and 50,502 vertices, suggesting a high-resolution mesh. It was last updated on the datagov platform in March 2026.
164,622 polygons and 94,843 vertices define this 3D model of the Faith 7 spacecraft. The model is published by the National Aeronautics and Space Administration on Data.gov. The record was last updated on March 5, 2026.
NASA provides a 3D model of a space shuttle. The model contains 2476 polygons and 1353 vertices. It was last updated on 2026-03-05 19:58:36.807563.
A 3D model of the Wide Field Planetary Camera 2 instrument, published by the National Aeronautics and Space Administration. The model contains 152 polygons and 224 vertices. It was last updated on 2026-03-05.
Honeypot-captured attack signatures from tools like nmap, hydra, sqlmap, and OWASP utilities. The dataset's author, organization, and specific scale are not provided in the input. Its last update date is also unknown.
Temporarily stored metadata for legacy forms from the Department of Homeland Security, last updated on 2026-03-22. The data contains information for rendering forms, such as styles for checkboxes and other UI elements. It is published under an 'other-license-specified' license on Data.gov.
RetailAction contains 21,000 samples for object detection tasks within the retail sector, published by Voxel51. The collection focuses on US-based retail environments and is designed for seamless integration with the FiftyOne computer vision toolset.
EgoWorld is a LeRobot v3.0 dataset of egocentric bimanual manipulation from human demonstrations. It features world-frame 3D hand poses, full MANO hand meshes, camera trajectories, and dense depth maps. The dataset was created by haoyang-li and was last updated on March 30, 2026.
The RarePlanes dataset incorporates both real and synthetically generated satellite imagery to test the value of synthetic data for computer vision. It consists of 253 real Maxar WorldView-3 satellite scenes with 14,700 hand-annotated aircraft and 50,000 synthetic images with approximately 630,000 aircraft annotations. The dataset was created by CosmiQ Works and AI.Reverie and is hosted on AWS Open Data.
24,000 high-resolution images across 1,000 motion sequences comprise this large-scale synthetic dataset for high dynamic range (HDR) reconstruction. S2R-HDR was rendered using Unreal Engine 5 and a custom pipeline built upon XRFeitoria. The dataset was last updated on March 2, 2026.
March 2022 LiDAR point cloud data from a survey commissioned by Fugro to assess coastal changes along the soft sedimentary north coast of Northern Ireland. The survey covered Curran Strand, Portrush East Strand, Portstewart Strand, and Downhill Beach to Magilligan following Storm Dudley, Eunice, and Franklin. Data is provided in a format consistent with a 2021 baseline survey to enable change detection.
A synthetic dataset simulating restaurant calls likely contains interactions related to orders, reservations, and customer queries. The dataset is hosted on Kaggle, but details about its size, structure, and creation date are unknown.
College Student Daily Stress Dataset is a synthetic dataset for analyzing daily activities and stress levels, including weekly summaries. The dataset is hosted on Kaggle, but its author, organization, and specific size details are unknown.
PPISP dataset accompanies the NVIDIA research paper 'PPISP: Physically-Plausible Compensation and Control of Photometric Variations in Radiance Field Reconstruction'. It contains object-centric captures of four outdoor scenes, each recorded with three different cameras. The dataset was uploaded to Hugging Face by NVIDIA in March 2026.
Four outdoor scenes were captured, each using three different cameras, for multi-view 3D reconstruction. The dataset was created by NVIDIA to accompany research on compensating for photometric variations in radiance field reconstruction. It includes photos processed with automatic exposure and color adjustments.
D-RE10K contains 15,467 training clips and 147,422 frames of real-estate walkthrough videos featuring dynamic objects. Developed by uva-cv-lab and released in 2026, the collection is designed for training and evaluating self-supervised large view synthesis models in non-static environments.
A synthetic dataset modeling the behavior of female students. It focuses on the interplay between peer pressure, academic anxiety, and digital consumption. The dataset was sourced from Kaggle, but specific authorship, size, and update details are not provided.
Three simulated reports from Amazon Seller Central, designed for learning e-commerce data analysis. The dataset is hosted on Kaggle, but the author, organization, and specific creation date are unknown. Its size, row count, and file formats are unspecified.