Home › Datasets › task › 6D Pose Estimation
6D Pose Estimation datasets
archive 2025-07-28
23 datasets carry the task tag "6D Pose Estimation" (the task itself: 6D Pose Estimation), ordered by the archive's paper count. Page 1 of 1: 23 shown of 23. 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 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
6D Pose Estimation datasets 1–23 of 23
The YCB-Video dataset is a large-scale video dataset for 6D object pose estimation.
164 papers · 5 benchmarks
REAL275 is a benchmark for category-level pose estimation.
67 papers · 1 benchmark
The LM (Linemod) dataset is a valuable resource introduced by Stefan Hinterstoisser and colleagues in their research on model-based training, detection, and pose estimation of texture-less 3D objects in heavily cluttered scenes¹.
34 papers · 5 benchmarks
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
ApolloCar3DT is a dataset that contains 5,277 driving images and over 60K car instances, where each car is fitted with an industry-grade 3D CAD model with absolute model size and semantically labelled keypoints.
17 papers · 14 benchmarks
Are current 3D object tracking methods truely robust enough for low-fidelity depth sensors like the iPhone LiDAR?
8 papers · 2 benchmarks
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
CORSMAL is a dataset for estimating the position and orientation in 3D (or 6D pose) of an object from a single view.
3 papers · 0 benchmarks
Estimating camera motion in deformable scenes poses a complex and open research challenge.
2 papers · 1 benchmark
OPT (Object Pose Tracking)
Accurately tracking the six degree-of-freedom pose of an object in real scenes is an important task in computer vision and augmented reality with numerous applications.
2 papers · 1 benchmark
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
UW Indoor Scenes (UW-IS) Occluded dataset is curated using commodity hardware (Intel RealSense D435) to reflect real world robotics scenarios.
2 papers · 0 benchmarks
Data used for the paper SparsePoser: Real-time Full-body Motion Reconstruction from Sparse Data It contains over 1GB of high-quality motion capture data recorded with an Xsens Awinda system while using a variety of VR applications in Meta…
2 papers · 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
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
GraspClutter6D is a large-scale real-world dataset for robust object perception and robotic grasping in cluttered environments.
1 paper · 0 benchmarks
This data set contains over 600GB of multimodal data from a Mars analog mission, including accurate 6DoF outdoor ground truth, indoor-outdoor transitions with continuous cross-domain ground truth, and indoor data with Optitrack…
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
SMOT (Single sequence-Multi Objects Training)
The SMOT dataset, Single sequence-Multi Objects Training, is collected to represent a practical scenario of collecting training images of new objects in the real world, i.e.
1 paper · 0 benchmarks
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
HouseCat6D (A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios)
Estimating 6D object poses is a major challenge in 3D computer vision.
0 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.