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6D Pose Estimation using RGB datasets

archive 2025-07-28

7 datasets carry the task tag "6D Pose Estimation using RGB" (the task itself: 6D Pose Estimation using RGB), ordered by the archive's paper count. Page 1 of 1: 7 shown of 7. 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 using RGB datasets 1–7 of 7

The YCB-Video dataset is a large-scale video dataset for 6D object pose estimation.
164 papers · 5 benchmarks
T-LESS is a dataset for estimating the 6D pose, i.e.
94 papers · 2 benchmarks
LM (LINEMOD)
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
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
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
Estimating camera motion in deformable scenes poses a complex and open research challenge.
2 papers · 1 benchmark
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

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.