task_categories:image-classification language:en license:cc-by-nc-nd-4.0 code finance region:us
The dataset is designed for computer vision and machine learning tasks
involving the identification and analysis of key points on a human face.
It consists of images of human faces, each accompanied by key point
annotations in XML format.
@InProceedings{huggingface:dataset,
title = {facial_keypoint_detection},
author = {TrainingDataPro},
year = {2023}
}
---
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: key_points
    dtype: string
  splits:
  - name: train
    num_bytes: 134736982
    num_examples: 15
  download_size: 129724970
  dataset_size: 134736982
---
# Facial Keypoints
The dataset is designed for computer vision and machine learning tasks involving the identification and analysis of key points on a human face. It consists of images of human faces, each accompanied by key point annotations in XML format.

# Get the dataset

### This is just an example of the data

Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=facial_keypoint_detection) to discuss your requirements, learn about the price and buy the dataset.

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F3d7bd72ae7143ee767c2ec54aabde499%2Fimage_keypoint.png?generation=1683577579318981&alt=media)

# Data Format

Each image from `FKP` 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%2Fb68d405e08a0d5dc6e5c87476758164d%2Fcarbon.png?generation=1684338809077422&alt=media)
    
# Labeled Keypoints

**1.** Left eye, the closest point to the nose

**2.** Left eye, pupil's center

**3.** Left eye, the closest point to the left ear

**4.** Right eye, the closest point to the nose

**5.** Right eye, pupil's center

**6.** Right eye, the closest point to the right ear

**7.** Left eyebrow, the closest point to the nose

**8.** Left eyebrow, the closest point to the left ear

**9.** Right eyebrow, the closest point to the nose

**10.** Right eyebrow, the closest point to the right ear

**11.** Nose, center

**12.** Mouth, left corner point

**13.** Mouth, right corner point

**14.** Mouth, the highest point in the middle

**15.** Mouth, the lowest point in the middle

# Keypoint annotation is made in accordance with your requirements.

## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=facial_keypoint_detection) 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**