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3D datasets
archive 2025-07-28380 datasets carry the modality tag "3D", ordered by the archive's paper count. Page 2 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
All 12,172
Images 3,239Texts 3,130Videos 1,014Audio 480Medical 3943D 380Time series 294Graphs 282Tabular 267Speech 197RGB-D 190Environment 147Point cloud 134Biomedical 122LiDAR 94RGB Video 87Tracking 77Biology 70Actions 673d meshes 64Tables 50Music 47EEG 44Hyperspectral images 44Stereo 44MRI 39Physics 32Interactive 29Dialog 25Midi 226D 17Replay data 11Financial 10Ranking 10Cad 9fMRI 7Parallel 6Lyrics 2PSG 2
3D datasets 49–96 of 380
BEHAVE is a full body human-object interaction dataset with multi-view RGBD frames and corresponding 3D SMPL and object fits along with the annotated contacts between them.
53 papers · 3 benchmarks
RICH (Real scenes, Interaction, Contact and Humans)
Inferring human-scene contact (HSC) is the first step toward understanding how humans interact with their surroundings.
53 papers · 1 benchmark
3D-FUTURE (3D FUrniture shape with TextURE) is a 3D dataset that contains 20,240 photo-realistic synthetic images captured in 5,000 diverse scenes, and 9,992 involved unique industrial 3D CAD shapes of furniture with high-resolution…
48 papers · 0 benchmarks
Gait3D is a large-scale 3D representation-based gait recognition dataset.
47 papers · 2 benchmarks
The ScanNet200 benchmark studies 200-class 3D semantic segmentation - an order of magnitude more class categories than previous 3D scene understanding benchmarks.
45 papers · 3 benchmarks
How2Sign (A Large-scale Multimodal Dataset for Continuous American Sign Language)
The How2Sign is a multimodal and multiview continuous American Sign Language (ASL) dataset consisting of a parallel corpus of more than 80 hours of sign language videos and a set of corresponding modalities including speech, English…
44 papers · 3 benchmarks
The PanoContext dataset contains 500 annotated cuboid layouts of indoor environments such as bedrooms and living rooms.
44 papers · 1 benchmark
Florence (Florence 3D Faces)
The Florence 3D faces dataset consists of: High-resolution 3D scans of human faces from many subjects.
40 papers · 1 benchmark
BUFF (Bodies Under Flowing Fashion)
BUFF consists of 5 subjects, 3 male and 2 female wearing 2 clothing styles: a) t-shirt and long pants and b) a soccer outfit.
39 papers · 1 benchmark
The Campus and Shelf datasets were presented in the paper 3D Pictorial Structures for Multiple Human Pose Estimation.
39 papers · 2 benchmarks
H3D (Honda Research Institute 3D)
The H3D is a large scale full-surround 3D multi-object detection and tracking dataset.
39 papers · 0 benchmarks
VerSe (Large Scale Vertebrae Segmentation Challenge)
Spine or vertebral segmentation is a crucial step in all applications regarding automated quantification of spinal morphology and pathology.
39 papers · 0 benchmarks
Our project (STPLS3D) aims to provide a large-scale aerial photogrammetry dataset with synthetic and real annotated 3D point clouds for semantic and instance segmentation tasks.
36 papers · 3 benchmarks
A large-scale V2X perception dataset using CARLA and OpenCDA
36 papers · 1 benchmark
DeepCAD is a CAD dataset consisting of 179,133 models and their CAD construction sequences.
35 papers · 2 benchmarks
EgoBody dataset is a novel large-scale dataset for egocentric 3D human pose, shape and motions under interactions in complex 3D scenes.
35 papers · 1 benchmark
EMDB contains in-the-wild videos of human activity recorded with a hand-held iPhone.
32 papers · 2 benchmarks
ModelNet40-C (ModelNet-C)
ModelNet40-C is a comprehensive dataset to benchmark the corruption robustness of 3D point cloud recognition.
32 papers · 2 benchmarks
MSRC-12 (MSRC-12 Kinect Gesture Dataset)
The Microsoft Research Cambridge-12 Kinect gesture data set consists of sequences of human movements, represented as body-part locations, and the associated gesture to be recognized by the system.
31 papers · 2 benchmarks
InteriorNet is a RGB-D for large scale interior scene understanding and mapping.
30 papers · 0 benchmarks
Dynamic FAUST extends the FAUST dataset to dynamic 4D data.
28 papers · 1 benchmark
G3D (Gaming 3D Dataset)
The Gaming 3D Dataset (G3D) focuses on real-time action recognition in a gaming scenario.
28 papers · 2 benchmarks
OASIS (Open Annotations of Single Image Surfaces)
A dataset for single-image 3D in the wild consisting of annotations of detailed 3D geometry for 140,000 images.
28 papers · 3 benchmarks
THuman2.0 Dataset contains 500 high-quality human scans captured by a dense DLSR rig.
28 papers · 1 benchmark
WPC (Waterloo Point Cloud)
The WPC (Waterloo Point Cloud) database is a dataset for subjective and objective quality assessment of point clouds.
28 papers · 1 benchmark
DALES (DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation)
We present the Dayton Annotated LiDAR Earth Scan (DALES) data set, a new large-scale aerial LiDAR data set with over a half-billion hand-labeled points spanning 10 square kilometers of area and eight object categories.
26 papers · 2 benchmarks
The Drive&Act dataset is a state of the art multi modal benchmark for driver behavior recognition.
26 papers · 1 benchmark
HomebrewedDB is a dataset for 6D pose estimation mainly targeting training from 3D models (both textured and textureless), scalability, occlusions, and changes in light conditions and object appearance.
26 papers · 0 benchmarks
KeypointNet is a large-scale and diverse 3D keypoint dataset that contains 83,231 keypoints and 8,329 3D models from 16 object categories, by leveraging numerous human annotations, based on ShapeNet models.
24 papers · 0 benchmarks
REALY (Region-aware benchmark based on the LYHM)
The REALY benchmark aims to introduce a region-aware evaluation pipeline to measure the fine-grained normalized mean square error (NMSE) of 3D face reconstruction methods from under-controlled image sets.
24 papers · 2 benchmarks
4D-DRESS (A 4D Dataset of Real-world Human Clothing with Semantic Annotations)
4D-DRESS is the first real-world 4D dataset of human clothing, capturing 64 human outfits in more than 520 motion sequences.
23 papers · 4 benchmarks
HPS (Human POSEitioning System Dataset)
HPS Dataset is a collection of 3D humans interacting with large 3D scenes (300-1000 m², up to 2500 m²).
23 papers · 0 benchmarks
IXI (IXI Brain Development Dataset)
IXI Dataset is a collection of 600 MR brain images from normal, healthy subjects.
23 papers · 4 benchmarks
PointCloud-C is the very first test-suite for point cloud robustness analysis under corruptions.
23 papers · 2 benchmarks
Real 3D-AD is the first point cloud anomaly detection dataset for industrial products.
23 papers · 2 benchmarks
Toyota Smarthome dataset (Toyota Smarthome Trimmed)
Toyota Smarthome Trimmed has been designed for the activity classification task of 31 activities.
23 papers · 0 benchmarks
The Fusion 360 Gallery Dataset contains rich 2D and 3D geometry data derived from parametric CAD models.
22 papers · 1 benchmark
MINOS is a simulator designed to support the development of multisensory models for goal-directed navigation in complex indoor environments.
22 papers · 0 benchmarks
Motion-X is a large-scale 3D expressive whole-body motion dataset, which comprises 15.6M precise 3D whole-body pose annotations (i.e., SMPL-X) covering 81.1K motion sequences from massive scenes, meanwhile providing corresponding semantic…
22 papers · 1 benchmark
AIST++ is a 3D dance dataset which contains 3D motion reconstructed from real dancers paired with music.
21 papers · 2 benchmarks
ContactDB is a dataset of contact maps for household objects that captures the rich hand-object contact that occurs during grasping, enabled by use of a thermal camera.
21 papers · 1 benchmark
GEOM-DRUGS is a dataset of 430,000 large organic molecules of up to 180 atoms from Axelrod and Gómez-Bombarelli, Nature Scientific Data, 2022.
20 papers · 1 benchmark
The HIV dataset was introduced by the Drug Therapeutics Program (DTP) AIDS Antiviral Screen, which tested the ability to inhibit HIV replication for over 40,000 compounds.
20 papers · 5 benchmarks
Using conservation of energy -- a fundamental property of closed classical and quantum mechanical systems -- we develop an efficient gradient-domain machine learning (GDML) approach to construct accurate molecular force fields using a…
20 papers · 0 benchmarks
Obstacle Tower is a high fidelity, 3D, 3rd person, procedurally generated environment for reinforcement learning.
20 papers · 6 benchmarks
SHREC'19 (SHREC'19 track Matching Humans with Different Connectivity)
Shape matching plays an important role in geometry processing and shape analysis.
20 papers · 1 benchmark
SynLiDAR is a large-scale synthetic LiDAR sequential point cloud dataset with point-wise annotations.
20 papers · 1 benchmark
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.