PoseData I

Introduction

We provide a dataset that supports estimation the pose of single or multiple person in the videos. The dataset contains 23 sequences, which have about 30,000 frames.

Download

Data Description

For each human figure in the dataset, we labeled it with 14 human skeletal keypoints, and the numeric orders of these keypoints are showed in Table 1, which are: 1-right shoulder, 2-right elbow, 3-right wrist, 4-left shoulder, 5-left elbow, 6-left wrist, 7-right hip, 8-right knee, 9-right ankle, 10-left hip, 11-left knee, 12-left ankle, 13-top of the head and 14-neck.

Table 1: The numerical orders of human skeletal keypoints

Number keypoint
1 right shoulder
2 right elbow
3 right wrist
4 left shoulder
5 left elbow
6 left wrist
7 right hip
8 right knee
9 right ankle
10 left hip
11 left knee
12 left ankle
13 top of the head
14 neck

The annotations are stored in MAT format, and each sequence has a MAT file. A 4-D matrix is stored in the MAT file and the size of matrix is f x h x 14 x 2, where f is the number of frames and h is the number of human in the sequence.

Data Viewer

A Data Viewer can preview the dataset. Runing python dataviewer.py at root folder.

prerequisites