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3D Human Pose Estimation datasets
archive 2025-07-28
50 datasets carry the task tag "3D Human Pose Estimation" (the task itself: 3D Human Pose Estimation), ordered by the archive's paper count. Page 1 of 2: 48 shown of 50. 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
3D Human Pose Estimation datasets 1–48 of 50
The Human3.6M dataset is one of the largest motion capture datasets, which consists of 3.6 million human poses and corresponding images captured by a high-speed motion capture system.
783 papers · 13 benchmarks
The Waymo Open Dataset is comprised of high resolution sensor data collected by autonomous vehicles operated by the Waymo Driver in a wide variety of conditions.
481 papers · 16 benchmarks
The 3D Poses in the Wild dataset is the first dataset in the wild with accurate 3D poses for evaluation.
395 papers · 4 benchmarks
AMASS is a large database of human motion unifying different optical marker-based motion capture datasets by representing them within a common framework and parameterization.
366 papers · 1 benchmark
MPI-INF-3DHP is a 3D human body pose estimation dataset consisting of both constrained indoor and complex outdoor scenes.
289 papers · 5 benchmarks
DensePose-COCO is a large-scale ground-truth dataset with image-to-surface correspondences manually annotated on 50K COCO images and train DensePose-RCNN, to densely regress part-specific UV coordinates within every human region at…
265 papers · 1 benchmark
The Leeds Sports Pose (LSP) dataset is widely used as the benchmark for human pose estimation.
202 papers · 1 benchmark
CMU Panoptic is a large scale dataset providing 3D pose annotations (1.5 millions) for multiple people engaging social activities.
131 papers · 4 benchmarks
AGORA is a synthetic human dataset with high realism and accurate ground truth.
68 papers · 4 benchmarks
The TotalCapture dataset consists of 5 subjects performing several activities such as walking, acting, a range of motion sequence (ROM) and freestyle motions, which are recorded using 8 calibrated, static HD RGB cameras and 13 IMUs…
57 papers · 2 benchmarks
RICH (Real scenes, Interaction, Contact and Humans)
Inferring human-scene contact (HSC) is the first step toward understanding how humans interact with their surroundings.
53 papers · 1 benchmark
BEDLAM is a large-scale synthetic video dataset designed to train and test algorithms on the task of 3D human pose and shape estimation (HPS).
45 papers · 1 benchmark
Accurate modeling of priors over 3D human pose is fundamental to many problems in computer vision.
43 papers · 0 benchmarks
The Campus and Shelf datasets were presented in the paper 3D Pictorial Structures for Multiple Human Pose Estimation.
39 papers · 2 benchmarks
JTA is a dataset for people tracking in urban scenarios by exploiting a photorealistic videogame.
36 papers · 1 benchmark
MuCo-3DHP is a large scale training data set showing real images of sophisticated multi-person interactions and occlusions.
35 papers · 0 benchmarks
EMDB contains in-the-wild videos of human activity recorded with a hand-held iPhone.
32 papers · 2 benchmarks
A novel benchmark and dataset for the evaluation of image-based garment reconstruction systems.
31 papers · 0 benchmarks
ExPose (EXpressive POse and Shape rEgression)
Curates a dataset of SMPL-X fits on in-the-wild images.
31 papers · 0 benchmarks
HPS (Human POSEitioning System Dataset)
HPS Dataset is a collection of 3D humans interacting with large 3D scenes (300-1000 m², up to 2500 m²).
23 papers · 0 benchmarks
ITOP (Invariant-Top View Dataset)
The ITOP dataset consists of 40K training and 10K testing depth images for each of the front-view and top-view tracks.
23 papers · 3 benchmarks
AIST++ is a 3D dance dataset which contains 3D motion reconstructed from real dancers paired with music.
21 papers · 2 benchmarks
SSP-3D (Sports Shape and Pose 3D)
SSP-3D is an evaluation dataset consisting of 311 images of sportspersons in tight-fitted clothes, with a variety of body shapes and poses.
19 papers · 1 benchmark
UBody is a large-scale Upper-Body dataset with the following annotations: 2D whole-body keypoints 3D SMPLX annotations Frame validity label Person bounding box (bbox) Hand bounding box (bbox)
15 papers · 1 benchmark
MVOR (Multi-View Operating Room)
Multi-View Operating Room (MVOR) is a dataset recorded during real clinical interventions.
14 papers · 0 benchmarks
Dataset of clothing size variation which includes different subjects wearing casual clothing items in various sizes, totaling to approximately 2000 scans.
14 papers · 0 benchmarks
MoVi (Large Multipurpose Motion and Video Dataset)
Contains 60 female and 30 male actors performing a collection of 20 predefined everyday actions and sports movements, and one self-chosen movement.
12 papers · 1 benchmark
This multi-view pant-tilt-zoom-camera (PTZ) dataset features competitive alpine skiers performing giant slalom runs.
12 papers · 1 benchmark
4D-OR includes a total of 6734 scenes, recorded by six calibrated RGB-D Kinect sensors 1 mounted to the ceiling of the OR, with one frame-per-second, providing synchronized RGB and depth images.
11 papers · 3 benchmarks
SLOPER4D is a novel scene-aware dataset collected in large urban environments to facilitate the research of global human pose estimation (GHPE) with human-scene interaction in the wild.
11 papers · 1 benchmark
Unite The People is a dataset for 3D body estimation.
10 papers · 0 benchmarks
EgoCap is a dataest of 100,000 egocentric images of eight people in different clothing, with 75,000 images from six people used for training.
9 papers · 0 benchmarks
HUMAN4D is a large and multimodal 4D dataset that contains a variety of human activities simultaneously captured by a professional marker-based MoCap, a volumetric capture and an audio recording system.
9 papers · 0 benchmarks
GPA (Geometric Pose Affordance)
multi-view imagery of people interacting with a variety of rich 3D environments
8 papers · 2 benchmarks
H3WB (Human 3.6M 3D WholeBody)
Human3.6M 3D WholeBody (H3WB) is a large scale dataset with 133 whole-body keypoint annotations on 100K images, made possible by a new multi-view pipeline.
8 papers · 3 benchmarks
3DOH50K is the first real 3D human dataset for the problem of human reconstruction and pose estimation in occlusion scenarios.
7 papers · 1 benchmark
Human-Art is a versatile human-centric dataset to bridge the gap between natural and artificial scenes.
7 papers · 1 benchmark
HARPER (Exploring 3D Human Pose Estimation and Forecasting from the Robot’s Perspective: The HARPER Dataset)
We introduce HARPER, a novel dataset for 3D body pose estimation and forecast in dyadic interactions between users and \spot, the quadruped robot manufactured by Boston Dynamics.
5 papers · 3 benchmarks
SportsPose (SportsPose - A Dynamic 3D sports pose dataset)
Accurate 3D human pose estimation is essential for sports analytics, coaching, and injury prevention.
4 papers · 0 benchmarks
HSPACE (Human-SPACE) is a large-scale photo-realistic dataset of animated humans placed in complex synthetic indoor and outdoor environments.
3 papers · 1 benchmark
BlendMimic3D (A Synthetic Dataset for Human Pose Estimation)
BlendMimic3D is a pioneering synthetic dataset developed using Blender, designed to enhance Human Pose Estimation (HPE) research.
2 papers · 0 benchmarks
DHP19 (Dynamic Vision Sensor 3D Human Pose Dataset)
DHP19 is the first human pose dataset with data collected from DVS event cameras.
2 papers · 1 benchmark
~6 million synthetic depth frames for pose estimation from multiple cameras.
2 papers · 0 benchmarks
COCO-MEBOW (Monocular Estimation of Body Orientation In the Wild)
COCO-MEBOW (Monocular Estimation of Body Orientation in the Wild) is a new large-scale dataset for orientation estimation from a single in-the-wild image.
1 paper · 0 benchmarks
FreeMan is the first large-scale multi-view human motion dataset under real scenarios.
1 paper · 0 benchmarks
Synthetic humans generated by the RePoGen method.
1 paper · 0 benchmarks
InfiniteRep is a synthetic, open-source dataset for fitness and physical therapy (PT) applications.
0 papers · 0 benchmarks
The LAAS Parkour dataset contains 28 RGB videos capturing human subjects performing four typical parkour techniques: safety-vault, kong vault, pull-up and muscle-up.
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.