README.md

---
license: cc-by-nc-nd-4.0
task_categories:
- image-classification
language:
- en
tags:
- Pose Estimation
- Keypoint annotation
- biometric
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
size_categories:
- 1K<n<10K
---
# 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.

# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[our website](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=pose_estimation)** to buy the dataset

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F31b38dee8dc63c581004afcf82136116%2F12.jpg?generation=1684357817470094&alt=media)

# Data Format

Each image from `PE` 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
![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fc8b7cc938539368c9ec03dd01a26724c%2Fcarbon%20(1).png?generation=1684358333663868&alt=media)

# Labeled body parts
Each keypoint is ordered and corresponds to the concrete part of the body:

0 **Nose**

1 **Neck**

2 **Right shoulder**

3 **Right elbow**

4 **Right wrist**

5 **Left shoulder**

6 **Left elbow**

7 **Left wrist**

8 **Right hip**

9 **Right knee**

10 **Right foot**

11 **Left hip**

12 **Left knee**

13 **Left foot**

14 **Right eye**

15 **Left eye**

16 **Right ear**

17 **Left ear**


# Keypoint annotation is made in accordance with your requirements.

# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[our website](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=pose_estimation)** to discuss your requirements, learn about the price and buy the dataset
Leave a request on [our website](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=pose_estimation) to discuss your requirements, learn about the price and buy the dataset.

## [Our Team](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=pose_estimation) provides high-quality data annotation tailored to your needs


*keywords: keypoints dataset, people with keypoints, keypoints annotation, keypoint detection dataset, biometric dataset, biometric data dataset, pose recognition database, pose detection dataset, pose estimation dataset, annotated body joints, pose annotations dataset, human images dataset, 2d human movements, hpe dataset*