metadata

license: cc-by-nc-nd-4.0
task_categories:
  - image-classification
language:
  - en
tags:
  - code
  - finance

Pose Estimation

The dataset is primarly intended to dentify and predict the positions of major joints of a human body in an image. It consists of people's photographs with body part labeled with keypoints.

Get the Dataset

This is just an example of the data. If you need access to the entire dataset, contact us via sales@trainingdata.pro or leave a request on https://trainingdata.pro/data-market

Data Format

Each image from EP folder is accompanied by an XML-annotation in the annotations.xml file indicating the coordinates of the key points. For each point, the x and y coordinates are provided, and there is a Presumed_Location attribute, indicating whether the point is presumed or accurately defined.

Example of XML file structure

Labeled body parts

Each keypoint is ordered and corresponds to the concrete part of the body: 0. Nose

Neck
Right shoulder
Right elbow
Right wrist
Left shoulder
Left elbow
Left wrist
Right hip
Right knee
Right foot
Left hip
Left knee
Left foot
Right eye
Left eye
Right ear
Left ear

Keypoint annotation is made in accordance with your requirements.

TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets

TrainingData's GitHub: https://github.com/trainingdata-pro