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Point cloud datasets
archive 2025-07-28134 datasets carry the modality tag "Point cloud", ordered by the archive's paper count. Page 2 of 3: 48 shown of 134. 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
Point cloud datasets 49–96 of 134
WADS (Winter Adverse Driving dataSet)
Collected in the snow belt region of Michigan's Upper Peninsula, WADS is the first multi-modal dataset featuring dense point-wise labeled sequential LiDAR scans collected in severe winter weather.
8 papers · 0 benchmarks
ChangeSim is a dataset aimed at online scene change detection (SCD) and more.
7 papers · 2 benchmarks
DOLPHINS (Dataset for Collaborative Perception enabled Harmonious and Interconnected Self-driving)
Vehicle-to-Everything (V2X) network has enabled collaborative perception in autonomous driving, which is a promising solution to the fundamental defect of stand-alone intelligence including blind zones and long-range perception.
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
The MMBody dataset provides human body data with motion capture, GT mesh, Kinect RGBD, and millimeter wave sensor data.
7 papers · 0 benchmarks
OMMO is a new benchmark for several outdoor NeRF-based tasks, such as novel view synthesis, surface reconstruction, and multi-modal NeRF.
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
LiDAR-MOS (LiDAR-based Moving Object Segmentation)
Tasks.
6 papers · 0 benchmarks
Prophesee GEN4 Dataset (Prophesee 1 Megapixel Automotive Detection Dataset)
The dataset is split between train, test and val folders.
6 papers · 0 benchmarks
A new dataset with significant occlusions related to object manipulation.
6 papers · 0 benchmarks
BRACE (The Breakdancing Competition Dataset for Dance Motion Synthesis)
BRACE is a dataset for audio-conditioned dance motion synthesis challenging common assumptions for this task: - strong music-dance correlation - controlled motion data - simple poses and movements To address these issues: - We focus on…
5 papers · 2 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
🤖 Robo3D - The WOD-C Benchmark WOD-C is an evaluation benchmark heading toward robust and reliable 3D perception in autonomous driving.
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
DHB Dataset (Dynamic Human Bodies Dataset)
Dynamic Human Bodies dataset (DHB), containing 10 point cloud sequences from the MITAMA dataset and 4 from the 8IVFB dataset.
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
Human-M3 is an outdoor multi-modal multi-view multi-person human pose database which includes not only multi-view RGB videos of outdoor scenes but also corresponding pointclouds.
4 papers · 0 benchmarks
K-Lane (KAIST-Lane)
KAIST-Lane (K-Lane) is the world’s first and the largest public urban road and highway lane dataset for Lidar.
4 papers · 1 benchmark
MUSES: MUlti-SEnsor Semantic perception dataset (The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty)
MUSES offers 2500 multi-modal scenes, evenly distributed across various combinations of weather conditions (clear, fog, rain, and snow) and types of illumination (daytime, nighttime).
4 papers · 5 benchmarks
We introduce MultiScan, a scalable RGBD dataset construction pipeline leveraging commodity mobile devices to scan indoor scenes with articulated objects and web-based semantic annotation interfaces to efficiently annotate object and part…
4 papers · 1 benchmark
P2S (Points2Surf)
We introduced this dataset in Points2Surf, a method that turns point clouds into meshes.
4 papers · 0 benchmarks
S3E is a novel large-scale multimodal dataset captured by a fleet of unmanned ground vehicles along four designed collaborative trajectory paradigms.
4 papers · 0 benchmarks
This dataset contains a variety of common urban road objects scanned with a Velodyne HDL-64E LIDAR, collected in the CBD of Sydney, Australia.
4 papers · 1 benchmark
ARCH2S (Dataset, Benchmark for Learning Exterior Architectural Structures from Point Clouds)
Precise segmentation of architectural structures provides detailed information about various building components, enhancing our understanding and interaction with our built environment.
3 papers · 1 benchmark
Ford Campus Vision and Lidar Data Set is a dataset collected by an autonomous ground vehicle testbed, based upon a modified Ford F-250 pickup truck.
3 papers · 0 benchmarks
Operating rooms (ORs) are complex, high-stakes environments requiring precise understanding of interactions among medical staff, tools, and equipment for enhancing surgical assistance, situational awareness, and patient safety.
3 papers · 3 benchmarks
MVHand is a new multi-view hand posture dataset to obtain complete 3D point clouds of the hand in the real world.
3 papers · 0 benchmarks
OpenTrench3D, the first publicly available point cloud dataset of underground utilities from open trenches.
3 papers · 1 benchmark
VBR (VBR: A Vision Benchmark in Rome)
This dataset presents a vision and perception research dataset collected in Rome, featuring RGB data, 3D point clouds, IMU, and GPS data.
3 papers · 0 benchmarks
3D-Point Cloud dataset of various geometrical terrains (3D-Point Cloud dataset of various geometrical terrains in urban environments recorded during human locomotion)
Depth vision has been recently used in many locomotion devices with the objective to ease the life of disabled people toward reaching more ecological lifestyle.
2 papers · 0 benchmarks
A real-world dataset, with hyper-accurate digital counterpart & comprehensive ground-truth annotation.
2 papers · 1 benchmark
BASEPROD (The Bardenas Semi-Desert Planetary Rover Dataset)
BASEPROD provides comprehensive rover sensor data collected over a 1.7 km traverse, accompanied by high-resolution 2D and 3D drone maps of the terrain.
2 papers · 0 benchmarks
BiGe (Bielefeld Gesture Corpus)
The BiGe corpus is comprised of 54.360 shots of interest extracted from TED and TEDx talks.
2 papers · 0 benchmarks
2 papers · 0 benchmarks
The Freiburg Spatial Relations dataset features 546 scenes each containing two out of 25 household objects.
2 papers · 0 benchmarks
A Simulated Benchmark for multi-modal SLAM Systems Evaluation in Large-scale Dynamic Environments.
2 papers · 0 benchmarks
NL-Drive (Nonlinear Autonomous Driving Dataset)
A challenging multi-frame interpolation dataset for autonomous driving scenarios.
2 papers · 1 benchmark
Pano3D is a new benchmark for depth estimation from spherical panoramas.
2 papers · 0 benchmarks
Teeth3DS+ (An Extended Benchmark for Intraoral 3D Scans Analysis)
Intraoral 3D scans analysis is a fundamental aspect of Computer-Aided Dentistry (CAD) systems, playing a crucial role in various dental applications, including teeth segmentation, detection, labeling, and dental landmark identification.
2 papers · 0 benchmarks
Dataset of low fidelity resolutions of the RANS equations over airfoils.
1 paper · 0 benchmarks
3D-BSLS-6D (3D scans of Bins by Structured-Light Scanner for 6D pose estimation)
Dataset consist of both real captures from Photoneo PhoXi structured light scanner devices annotated by hand and synthetic samples produced by custom generator.
1 paper · 1 benchmark
AcousticRooms is a large-scale synthetic room impulse response (RIR) dataset designed for cross-room RIR prediction tasks.
1 paper · 0 benchmarks
A small-scale, real-world Project Aria dataset with high quality static 3D oriented bounding boxs annotations.
1 paper · 1 benchmark
BigBIRD (Big Berkeley Instance Recognition Dataset)
BigBIRD is a 3D dataset of 125 objects, with the following data for each object: 600 12 megapixel images, sampling the viewing hemisphere 600 registered RGB-D point clouds from a Carmine 1.09 sensor Pose information for each of the above…
1 paper · 0 benchmarks
CLAD (Complex and Long Activities Dataset)
CLAD (Compled and Long Activities Dataset) is an activity dataset which exhibits real-life and diverse scenarios of complex, temporally-extended human activities and actions.
1 paper · 0 benchmarks
CODD (Cooperative Driving Dataset)
The Cooperative Driving dataset is a synthetic dataset generated using CARLA that contains lidar data from multiple vehicles navigating simultaneously through a diverse set of driving scenarios.
1 paper · 0 benchmarks
ConSLAM (Construction Dataset for SLAM)
ConSLAM is a real-world dataset collected periodically on a construction site to measure the accuracy of mobile scanners' SLAM algorithms.
1 paper · 0 benchmarks
To study the data-scarcity mitigation for learning-based visual localization methods via sim-to-real transfer, we curate and now present the CrossLoc benchmark datasets—a multimodal aerial sim-to-real data available for flights above…
1 paper · 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.