license: cc-by-nc-nd-4.0
task_categories:
- image-classification
language:
- en
tags:
- code
- finance
dataset_info:
features:
- name: image_id
dtype: uint32
- name: image
dtype: image
- name: mask
dtype: image
- name: shapes
dtype: string
splits:
- name: train
num_bytes: 142645152
num_examples: 29
download_size: 137240523
dataset_size: 142645152
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
Contact us via sales@trainingdata.pro or leave a request on https://trainingdata.pro/data-market to discuss your requirements, learn about the price and buy the dataset
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-datamarket/TrainingData_All_datasets