89 datasets found

The MPII keypoint dataset contains 25,000 images with 40,000 human instances labeled with 16 keypoints.

The COCO keypoint-2017 dataset contains over 200,000 images and 250,000 human instances labeled with 17 keypoints.

Human pose estimation is one fundamental yet challenging task to estimate precise human joint coordinates (eyes, ears, shoulders, elbows, wrists, knees, etc.).

The COCO keypoint detection task dataset contains 150K person instances annotated with 17 keypoints.

The EventHPE dataset contains event-based 3D human pose and shape estimation data.

The DHP19 dataset contains dynamic vision sensor 3D human pose data.

The SPHP dataset contains synchronized, complementary images of edge and motion vectors along with ground truth labels for 13 joints.

The dataset used for training and testing the proposed TetraTSDF model for 3D human reconstruction from a single image with a tetrahedral outer shell.

The People Snapshot dataset is a dataset of human images, consisting of 3D human models with different poses and expressions.

Multi-person pose estimation and tracking serve as critical steps for video understanding. Most state-of-the-art approaches rely on first estimating poses in each frame and only...

A dataset for gait analysis using a single RGB camera and a mobile tele-robot for healthcare

The 3D Human Pose Estimation within the ECCV 2018 PoseTrack Challenge dataset is used to evaluate the proposed method.

The proposed method achieves promising results with mean per joint position error (MPJPE) at 42.39 on the validation dataset on 3D human pose estimation challenge.

A Simple Yet Effective Baseline for 3D Human Pose Estimation.

Human pose estimation Is the process of recovering anatomical keypoints of the human body given an image or a video, which deeply relies on both visual cues and keypoints...

Human pose estimation Is the process of recovering anatomical keypoints of the human body given an image or a video, which deeply relies on both visual cues and keypoints...

The PanopTOP31K dataset consists of 34k top-view and 34k front-view images coming from video sequences of 24 different actors.

The ITOP dataset contains depth images from top and front view. The training split and the test split consist of 40k and 10k images, respectively.

Human Pose Estimation (HPE) aims at retrieving the 3D position of human joints from images or videos. We show that current 3D HPE methods suffer a lack of viewpoint...

Biwi Kinect is a real-world dataset containing over 15K images of 20 people.