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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,021 datasets
A software library by Alex Zvoleff enables calculation of image textures based on Grey-Level Co-Occurrence Matrices (GLCMs). The method implements the Haralick (1973) texture features and supports processing images that cannot fit in memory. The dataset nature is inferred from the platform and description, likely containing or generating texture feature data for images.
A collection of 1,000 3D object models, likely sourced from the Objaverse dataset. The dataset is hosted on Kaggle, but its specific creation date, author, and detailed composition are not provided in the available metadata. The title suggests it contains mesh data with ground truth annotations, potentially for use in 3D computer vision tasks.
Kaggle hosts a dataset titled '1k GSO mesh gt'. The title suggests it likely contains 1,000 ground truth 3D mesh objects, possibly for computer graphics or simulation tasks. The dataset's author, organization, and specific collection details are unknown.
District of Columbia - Classified Point Cloud LiDAR is a tiled point cloud dataset for the entire District of Columbia, managed by the Office of the Chief Technology Officer (OCTO) and the DC GIS program. The data is hosted on Amazon S3 and is available for public use. The dataset includes associated metadata, but the last update date and specific technical details are unknown.
Testing GSO mesh gt dataset, published on Kaggle. The dataset likely contains ground truth mesh data for computer graphics or simulation testing. Metadata is minimal; actual content requires verification after download.
Testing Objaverse mesh gt is a dataset hosted on Kaggle. The title suggests it likely contains 3D mesh ground truth data, potentially for testing or benchmarking purposes. The dataset's specific content, size, and origin require verification after download.
A dataset titled 'Testing ABO mesh gt' was published on Kaggle. The title suggests it contains mesh data, likely used as ground truth for testing in computer graphics or simulation contexts. No further metadata regarding size, format, or origin is available.
178 objects across 7 scenes provide paired posed multi-view images, SLAM point clouds, and complete 3D shape annotations. The dataset from Facebook captures real-world challenges like occlusions and clutter. It was last updated on January 21, 2026.
A synthetic dataset tracks how students use artificial intelligence for academic and productivity purposes. The data is described as clean and originates from the Kaggle platform. The specific time range, size, and creator of the dataset are unknown.
Synthetic data simulates children's snack preferences alongside health indicators. The dataset's origin, size, and specific variables are not detailed in the available metadata. It is hosted on Kaggle, but the author, license, and last update date are unknown.
A synthetic dataset created for learning purposes. The data simulates cosmetics retail transactions. The author, organization, and specific details about the data's size and structure are not provided.
500+ rows of synthetic data designed for machine learning practice. The dataset likely contains features suitable for binary classification tasks. Its origin and specific structure are not detailed.
50,000 synthetic employee records designed for analyzing workforce attrition. The dataset is hosted on Kaggle and likely contains features relevant to human resources management. Its synthetic nature suggests it was generated for modeling and analysis purposes.
Ironbyte-dataset is a mock synthetic dataset published on Kaggle. The raw description indicates it is intended for a mobile gaming studio context. The dataset's specific columns, size, and license are unknown.
GridNet-HD is a multimodal dataset developed for 3D semantic segmentation tasks specialized on electrical infrastructure. It represents the first Image+LiDAR dataset accurately co-referenced in this domain, created by the author 'heig-vd-geo'. The dataset is associated with a public leaderboard hosted on Hugging Face Spaces.
UK Hydrographic Office-verified acoustic backscatter mosaics and sediment texture data for Hurst Spit, collected under the Civil Hydrography Programme in 2017. The dataset originates from the New Forest District Council initiative and is managed by the British Geological Survey.
British Geological Survey (BGS) 3D scans store holds digital 3D scans of palaeontological and petrological specimens. The collection includes 3D meshes and 2D images stored in formats like .OBJ and .PLY, last updated in March 2026.
Markdown files containing documentation for Unreal Engine, a game development platform. The dataset is hosted on Kaggle, but its specific scope, size, and authorship are not detailed in the provided metadata. The content likely includes technical guides, API references, and tutorials for the engine.
Synthetic data generated to simulate readings from fitness trackers and health monitoring devices. The dataset likely contains simulated health metrics such as heart rate, steps, and calories, created for algorithm testing and model development. It is hosted on Kaggle, but details on its creator, size, and update history are not provided.
A 3D model of the Russian Ministry of Defence building, originally designed by architects L.V. Rudnev and V.O. Mutz in 1940. The model was created using RealityCapture and Houdini software and sourced from the Objaverse 1.0 dataset via Sketchfab. The dataset's specific scale, file formats, and license are not detailed in the provided metadata.