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Pose Estimation datasets
archive 2025-07-28
124 datasets carry the task tag "Pose Estimation" (the task itself: Pose Estimation), ordered by the archive's paper count. Page 3 of 3: 28 shown of 124. 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 50 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Pose Estimation datasets 97–124 of 124
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
A large-scale hand pose dataset, collected using a novel capture method.
1 paper · 0 benchmarks
CIP (Complete Inertial Pose)
The CIP dataset is composed of 2 subsets, containing low-cost (MPU9250) and high-end (MTwAwinda) Magnetic, Angular Rate, and Gravity (MARG) sensor data respectively.
1 paper · 0 benchmarks
DynOPETs is a real-world RGB-D dataset designed for object pose estimation and tracking in dynamic scenes with moving cameras.
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
Data for "Image-based Backbone Reconstruction for Non-Slender Soft Robots" This dataset provides the data for the forthcoming paper "Image-based Backbone Reconstruction for Non-Slender Soft Robots".
1 paper · 0 benchmarks
DensePose-Track is a dataset of videos where selected frames are annotated in the traditional DensePose manner.
1 paper · 0 benchmarks
Desert Locus is a animal pose estimation dataset for desert locuses.
1 paper · 1 benchmark
A new large-scale dataset that consists of 409 fine-grained categories and 31,881 images with accurate 3D pose annotation.
1 paper · 0 benchmarks
Halpe-FullBody is a full body keypoints dataset where each person has annotated 136 keypoints, including 20 for body, 6 for feet, 42 for hands and 68 for face.
1 paper · 0 benchmarks
The HumanoidRobotPose dataset is a dataset for real-time pose estimation of humanoid robots.
1 paper · 0 benchmarks
Consists of 10,000 images is constructed, in which all the immediacy measures and the human poses are annotated.
1 paper · 0 benchmarks
MacaquePose is an animal pose estimation dataset containing pictures of macaque monkeys and manually labeled annotations on them.
1 paper · 1 benchmark
Human pose estimation (HPE) in the top-view using fisheye cameras presents a promising and innovative application domain.
1 paper · 0 benchmarks
In order to evaluate the effectiveness of NToP in real-world scenarios, we collect a new dataset OmniLab with a top-view omnidirectional camera, mounted on the ceiling of two different rooms (bedroom, living room) at 2.5 m height.
1 paper · 0 benchmarks
This is the official dataset collected for to test the sim-to-real transfer.
1 paper · 0 benchmarks
SIDOD is a new, publicly-available image dataset generated by the NVIDIA Deep Learning Data Synthesizer intended for use in object detection, pose estimation, and tracking applications.
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
The Store Dataset is a dataset for estimating 3D poses of multiple humans in real-time.
1 paper · 0 benchmarks
A large-scale dataset composed of object-centric street view scenes along with point correspondences and camera pose information.
1 paper · 0 benchmarks
This is a pose estimation dataset, consisting of symmetric 3D shapes where multiple orientations are visually indistinguishable.
1 paper · 0 benchmarks
Data used for the paper Combining Motion Matching and Orientation Prediction to Animate Avatars for Consumer-Grade VR Devices.
1 paper · 0 benchmarks
Vinegar Fly is a pose estimation dataset for fruit flies.
1 paper · 1 benchmark
A dataset that consists of 20 actions of various actors, such as tennis serves, yoga and Tai Chi.
1 paper · 0 benchmarks
Grévy’s Zebra is an animal pose estimation dataset for zebras.
0 papers · 0 benchmarks
ICT-3DHP is collected using the Microsoft Kinect sensor and contains RGB images and depth maps of about 14k frames, divided in 10 sequences.
0 papers · 0 benchmarks
InfiniteRep is a synthetic, open-source dataset for fitness and physical therapy (PT) applications.
0 papers · 0 benchmarks
Pose Estimation Lunar Robot (Dataset for camera pose estimation research using computer simulated images from rovers on the lunar surface)
Overview The goal: using simulation data to train neural networks to estimate the pose of a rover's camera with respect to a known target object The mission context: A simulated lunar surface, with lunar landers and lunar rovers.
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.