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6D datasets
archive 2025-07-28
17 datasets carry the modality tag "6D", ordered by the archive's paper count. Page 1 of 1: 17 shown of 17. 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
6D datasets 1–17 of 17
EuRoC MAV is a visual-inertial datasets collected on-board a Micro Aerial Vehicle (MAV).
13 papers · 1 benchmark
A new dataset with significant occlusions related to object manipulation.
6 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
FewSOL (A Dataset for Few-Shot Object Learning in Robotic Environments)
The Few-Shot Object Learning (FewSOL) dataset can be used for object recognition with a few images per object.
4 papers · 0 benchmarks
The Fraunhofer IPA Bin-Picking dataset is a large-scale dataset comprising both simulated and real-world scenes for various objects (potentially having symmetries) and is fully annotated with 6D poses.
4 papers · 0 benchmarks
The eSports Sensors dataset contains sensor data collected from 10 players in 22 matches in League of Legends.
4 papers · 2 benchmarks
Robot grasping is often formulated as a learning problem.
3 papers · 0 benchmarks
The UAVA,UAV-Assistant, dataset is specifically designed for fostering applications which consider UAVs and humans as cooperative agents.
3 papers · 0 benchmarks
This dataset comprehends the 3D building information model (in IFC and Revit formats), manually elaborated based on the terrestrial laser scanner of the sequence 2 of ConSLAM, and the refined ground truth (GT) poses (in TUM format) of…
2 papers · 0 benchmarks
Details about the creation of the dataset can be seen in https://arxiv.org/abs/2110.06139.
1 paper · 0 benchmarks
GraspClutter6D is a large-scale real-world dataset for robust object perception and robotic grasping in cluttered environments.
1 paper · 0 benchmarks
KITTI-6DoF is a dataset that contains annotations for the 6DoF estimation task for 5 object categories on 7,481 frames.
1 paper · 0 benchmarks
PaintNet is a dataset for learning robotic spray painting of free-form 3D objects.
1 paper · 0 benchmarks
RTB (Robot Tracking Benchmark)
The Robot Tracking Benchmark (RTB) is a synthetic dataset that facilitates the quantitative evaluation of 3D tracking algorithms for multi-body objects.
1 paper · 1 benchmark
Data and experiments for motion-based extrinsic calibration using [trajectorycalibration].
1 paper · 0 benchmarks
The YCB-Ev dataset contains synchronized RGB-D frames and event data that enables evaluating 6DoF object pose estimation algorithms using these modalities.
1 paper · 0 benchmarks
In this dataset we teleoperated UR5 arm to collect manipulation data for picking up a screwdriver in a cluttered tabletop environment.
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.