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3D models, rendered datasets, physics simulation, digital twins, synthetic data generation, game engine data
1,021 datasets
GlobalBuildingAtlas (GBA.LoD1) provides global coverage of building polygons, heights, and Level of Detail 1 (LoD1) 3D models at the individual building level. Created by zhu-xlab and updated in February 2026, it serves as a consistent 3D representation of urban structures worldwide.
Kaggle hosts the ArchiTexture ControlNet-stitched PTD Benchmark v1. The title suggests it is a collection of images for benchmarking texture synthesis or architectural image generation tasks. The dataset's author, organization, and specific content details are not provided in the available metadata.
A toolset for Geometric Morphometrics and mesh processing created by Stefan Schlager. The description indicates it includes functionality for mesh deformations, permutation tests, outlier detection, and landmark processing. The dataset's size, temporal coverage, and specific data formats are not provided.
FPP-ML-Bench is the first open-source, photorealistic synthetic dataset for single-shot fringe projection profilometry (FPP). It contains 15,600 fringe images generated using VIRTUS-FPP in NVIDIA Isaac Sim, created by aharoon and last updated in February 2026. The dataset is designed to enable standardized benchmarking of deep learning approaches for 3D depth reconstruction.
MVRefer is the first benchmark dataset for Multi-view 3D Referring Expression Segmentation (MV-3DRES). It was created by sosppxo and last updated in February 2026 to align 3D language grounding with the realistic sensing conditions of embodied agents.
A dataset of virtual reality gestures recorded using a Leap Motion Controller. The author and organization are unknown, and the dataset's size, specific contents, and last update date are not provided in the available metadata.
The 3D Elevation Program (3DEP) collection provides public domain lidar point cloud data, serving as the foundational elevation layer for The National Map across the United States. It consists of millions of geo-referenced 3D points stored in LAZ format, preserving original spatial references and units. These data points, containing x, y, z coordinates and other attributes, are the source for seamless Digital Elevation Models (DEMs).
Meshlex Patches is a dataset uploaded by author Pthahnix to the Hugging Face platform. The dataset was last updated on March 21, 2026. Its specific content and scale are unknown, but platform tags suggest it may contain tabular or text data related to mesh structures.
3D Lidar scans cover three 0.5-hectare permanent sample plots and 10 individual trees in Brazil's Caatinga vegetation. Data collection occurred between July 2017 and May 2019 across two locations, Serra das Almas Reserve and Petrolina. The dataset includes registered point clouds and raw scans for analyzing canopy architecture at both plot and tree levels.
DeTexture ADE20K Review is a dataset hosted on Kaggle. The title suggests it is related to the ADE20K dataset, which is a standard benchmark for scene parsing and semantic segmentation tasks. The dataset likely contains images with pixel-level annotations for objects and textures.
A synthetic dataset analyzing the impact of AI and automation on job layoffs. The dataset's author, organization, and temporal or geographic scope are unspecified. It is hosted on Kaggle, but details on its size, structure, and license are currently unknown.
Funnel Synthetic Dataset Customer Retention Model is a retail dataset designed for analyzing customer retention and funnel analytics. The dataset likely contains synthetic records simulating customer interactions and behaviors for AI modeling purposes. Its specific source, size, and creation details are unknown.
CSTD — ControlNet Synthetic Texture Dataset is a dataset hosted on Kaggle. The dataset's title suggests it contains synthetic texture images, likely generated for training or evaluating computer vision models. No further metadata on size, creator, or specific content is available from the provided input.
ReliefMesh-Gemma-Package is a dataset published on Kaggle. The title suggests it likely contains 3D mesh data, potentially for terrain or relief modeling. Specific details on size, format, and creation are unavailable from the provided metadata.
Debmayers created a photogrammetry model of the Temple to Mithras at Carrawburgh on Hadrian's Wall for a VR project. The model represents the only visible mithraeum on Hadrian's Wall, where the tauroctony was not found. The dataset originates from the Objaverse 1.0 collection via Sketchfab.
A synthetic dataset designed to model leading indicators of economic slowdown, specifically GDP gaps, overproduction, and inventory buildup. The data is hosted on Kaggle and appears to be generated for predictive modeling purposes. Details on its creator, size, and specific temporal coverage are not provided.
5,988 synthetic prompts designed for training and evaluating prompt injection detection systems. The dataset, created by Antijection, contains an approximately 50/50 split of safe and malicious examples with contextual information and attack categorization. It was last updated on January 20, 2026.
UVigo 3D Vision Lab 04 is a point cloud dataset for classification and segmentation tasks. The dataset was published on Kaggle, but its author, organization, and creation date are not specified. The number of samples, file formats, and specific attributes are unknown.
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.