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3D datasets

archive 2025-07-28

380 datasets carry the modality tag "3D", ordered by the archive's paper count. Page 4 of 8: 48 shown of 380. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 39 modality tags shown of 39, by dataset count; the full filter by modality, task and language is on /datasets

3D datasets 145–192 of 380

FOR-instance (FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees)
The challenge of accurately segmenting individual trees from laser scanning data hinders the assessment of crucial tree parameters necessary for effective forest management, impacting many downstream applications.
7 papers · 0 benchmarks
FPv1 (prior name FAUST-partial) is a 3D registration benchmark dataset created to address the lack of data variability in the existing 3D registration benchmarks such as: 3DMatch, ETH, KITTI.
7 papers · 1 benchmark
HBW (Human Bodies in the Wild)
Human Bodies in the Wild (HBW) is a validation and test set for body shape estimation.
7 papers · 0 benchmarks
Interiorverse is a high-quality indoor scene dataset with rich details, including complex furniture and decorations and it is rendered with GGX BRDF model, which has stronger material modeling capability than any BRDF models.
7 papers · 0 benchmarks
KiTS19 (The 2019 Kidney and Kidney Tumor Segmentation Challenge)
The 2021 Kidney and Kidney Tumor Segmentation challenge (abbreviated KiTS21) is a competition in which teams compete to develop the best system for automatic semantic segmentation of renal tumors and surrounding anatomy.
7 papers · 1 benchmark
LaFAN1 (Ubisoft La Forge Animation Dataset)
Ubisoft La Forge Animation Dataset ("LAFAN1") Ubisoft La Forge Animation dataset and accompanying code for the SIGGRAPH 2020 paper Robust Motion In-betweening.
7 papers · 1 benchmark
The MMBody dataset provides human body data with motion capture, GT mesh, Kinect RGBD, and millimeter wave sensor data.
7 papers · 0 benchmarks
This is a 3D action recognition dataset, also known as 3D Action Pairs dataset.
7 papers · 1 benchmark
MonoPerfCap is a benchmark dataset for human 3D performance capture from monocular video input consisting of around 40k frames, which covers a variety of different scenarios.
7 papers · 0 benchmarks
RCooper (Roadside Cooperative Perception Dataset)
The first real-world, large-scale Roadside Cooperative Perception Dataset, RCooper, is released to bloom research on roadside cooperative perception for practical applications.
7 papers · 0 benchmarks
Understanding spatial relations (e.g., “laptop on table”) in visual input is important for both humans and robots.
7 papers · 1 benchmark
CMD is a publicly available collection of hundreds of thousands 2D maps and 3D grids containing different properties of the gas, dark matter, and stars from more than 2,000 different universes.
6 papers · 0 benchmarks
FAT (Falling Things)
Falling Things (FAT) is a dataset for advancing the state-of-the-art in object detection and 3D pose estimation in the context of robotics.
6 papers · 0 benchmarks
IndustReal (IndustReal Dataset of Egocentric Videos for Procedure Understanding)
IndustReal is an ego-centric, multi-modal dataset where 27 participants are challenged to perform assembly and maintenance procedures on a construction-toy car.
6 papers · 3 benchmarks
LiDAR-MOS (LiDAR-based Moving Object Segmentation)
Tasks.
6 papers · 0 benchmarks
MedShapeNet contains over 100,000 medical shapes, including bones, organs, vessels, muscles, etc., as well as surgical instruments.
3D
6 papers · 0 benchmarks
Generate high-quality 3D ground-truth shapes for reconstruction evaluation is extremely challenging because even 3D scanners can only generate pseudo ground-truth shapes with artefacts.
6 papers · 0 benchmarks
OOD-CV (Out Of Distribution Generalization in Computer Vision)
Enhancing the robustness of vision algorithms in real-world scenarios is challenging.
6 papers · 1 benchmark
QDax is a benchmark suite designed for for Deep Neuroevolution in Reinforcement Learning domains for robot control.
6 papers · 0 benchmarks
The RAD-ChestCT dataset is a large medical imaging dataset developed by Duke MD/PhD Rachel Draelos during her Computer Science PhD supervised by Lawrence Carin.
6 papers · 0 benchmarks
SPACE is a simulator for physical Interactions and causal learning in 3D environments.
6 papers · 0 benchmarks
VIPER is a benchmark suite for visual perception.
6 papers · 0 benchmarks
A new dataset with significant occlusions related to object manipulation.
6 papers · 0 benchmarks
A Large Dataset of Object Scans is a dataset of more than ten thousand 3D scans of real objects.
5 papers · 0 benchmarks
CHI3D is a lab-based accurate 3D motion capture dataset with 631 sequences containing 2,525 contact events,728,664 ground truth 3d poses, as well as FlickrCI3D, a dataset of 11,216 images, with 14,081 processed pairs of people, and 81,233…
3D
5 papers · 0 benchmarks
ClimateSet (ClimateSet - : A Large-Scale Climate Model Dataset for Machine Learning)
Climate models are critical tools for analyzing climate change and projecting its future impact.
5 papers · 0 benchmarks
A large-scale and diverse duet interactive dance dataset.
5 papers · 0 benchmarks
DurLAR (A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery)
DurLAR is a high-fidelity 128-channel 3D LiDAR dataset with panoramic ambient (near infrared) and reflectivity imagery for multi-modal autonomous driving applications.
5 papers · 0 benchmarks
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
5 papers · 0 benchmarks
FAUST-partial is a 3D registration benchmark dataset created to provide a more informative evaluation of 3D registration methods.
5 papers · 9 benchmarks
FFHQ-UV is a large-scale facial UV-texture dataset that contains over 50,000 high-quality texture UV-maps with even illuminations, neutral expressions, and cleaned facial regions, which are desired characteristics for rendering realistic…
5 papers · 0 benchmarks
HARPER (Exploring 3D Human Pose Estimation and Forecasting from the Robot’s Perspective: The HARPER Dataset)
We introduce HARPER, a novel dataset for 3D body pose estimation and forecast in dyadic interactions between users and \spot, the quadruped robot manufactured by Boston Dynamics.
5 papers · 3 benchmarks
HOD (Hand-held Object Dataset)
HOD is a dataset for 3D object reconstruction which contains 35 objects, divided into two subsets named Sculptures and Daily Objects.
5 papers · 1 benchmark
HaN-Seg (The Head and Neck Organ-at-Risk CT & MR Segmentation Challenge)
Cancer in the region of the head and neck (HaN) is one of the most prominent cancers, for which radiotherapy represents an important treatment modality that aims to deliver a high radiation dose to the targeted cancerous cells while…
5 papers · 0 benchmarks
MatSynth MatSynth is a Physically Based Rendering (PBR) materials dataset designed for modern AI applications.
5 papers · 0 benchmarks
NERDS 360 (NeRF for Reconstruction, Decomposition and Scene Synthesis of 360° outdoor scenes)
We present a large-scale dataset for 3D urban scene understanding.
5 papers · 0 benchmarks
PedX is a large-scale multi-modal collection of pedestrians at complex urban intersections.
5 papers · 0 benchmarks
RefRef (RefRef: A Synthetic Dataset and Benchmark for Reconstructing Refractive and Reflective Objects)
RefRef is a synthetic dataset and benchmark designed for the task of reconstructing scenes with complex refractive and reflective objects.
5 papers · 1 benchmark
SERV-CT (SERV-CT: A disparity dataset from CT for validation of endoscopic 3D reconstruction)
Endoscopic stereo reconstruction for surgical scenes gives rise to specific problems, including the lack of clear corner features, highly specular surface properties, and the presence of blood and smoke.
5 papers · 0 benchmarks
This is a 16.2-million frame (50-hour) multimodal dataset of two-person face-to-face spontaneous conversations.
5 papers · 0 benchmarks
aiMotive Dataset (aiMotive Multimodal Dataset)
aiMotive dataset is a multimodal dataset for robust autonomous driving with long-range perception.
5 papers · 1 benchmark
We established a 3D evaluation benchmark, 3D MM-Vet, to assess the 4-level capacity in embodied interaction scenarios, varying from basic perception to control statements generation.
4 papers · 1 benchmark
MICCAI Challenge on Circuit Reconstruction from Electron Microscopy Images.
4 papers · 1 benchmark
DrivAerNet (A Parametric Car Dataset for Data-driven Aerodynamic Design and Graph-Based Drag Prediction)
DrivAerNet is a large-scale, high-fidelity CFD dataset of 3D industry-standard car shapes designed for data-driven aerodynamic design.
4 papers · 0 benchmarks
FLAG3D is a large-scale 3D fitness activity dataset with language instruction containing 180K sequences of 60 categories.
4 papers · 0 benchmarks
A dataset of high resolution, textured scans of articulated left feet, useful for 3D shape representation learning.
4 papers · 0 benchmarks
HOMER (Household Object Movements from Everyday Routines)
The Household Object Movements from Everyday Routines (HOMER) dataset is composed of routine behaviors for five households, spanning 50 days for the train split and 10 days for test split.
4 papers · 0 benchmarks
Kitchen Scenes is a multi-view RGB-D dataset of nine kitchen scenes, each containing several objects in realistic cluttered environments including a subset of objects from the BigBird dataset.
4 papers · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.