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Facial Keypoint Detection Dataset

Facial Keypoint Detection Dataset is a large-scale dataset containing nearly 200,000 annotated images of diverse individuals displaying facial emotions across various age groups and scenes, designed for training emotion recognition, expression analysis, and facial recognition models using rich facial features and metadata to support advanced computer vision applications.

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  • photos
    5,000+
  • landmarks
    15
  • Data annotation
  • Computer Vision
  • Facial Recognition
  • Anti-spoofing
  • Machine learning

Facial Keypoint Detection Dataset is a large-scale dataset containing nearly 200,000 annotated images of diverse individuals displaying facial emotions across various age groups and scenes, designed for training emotion recognition, expression analysis, and facial recognition models using rich facial features and metadata to support advanced computer vision applications.

Get in touch Download sample
  • Data annotation
  • Computer Vision
  • Facial Recognition
  • Anti-spoofing
  • Machine learning
  • photos
    5,000+
  • landmarks
    15

Dataset Info

Characteristic Data
Description close-up images of faces with annotated data for facial recognition
Data types Image
Tasks Facial recognition, Computer Vision
Number of images 5,000+
Number of landmarks 15
Landmarks Left eye, the closest point to the nose, Left eye, pupil's center, Left eye, the closest point to the left ear, Right eye, the closest point to the nose, Right eye, pupil's center, Right eye, the closest point to the right ear, Left eyebrow, the closest point to the nose, Left eyebrow, the closest point to the left ear, Right eyebrow, the closest point to the nose, Right eyebrow, the closest point to the right ear, Nose, center, Mouth, left corner point, Mouth, right corner point, Mouth, the highest point in the middle, Mouth, the lowest point in the middle
Labeling Metadata (ID, gender)
Gender Male, Female
Original image
Labeling of the image
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Technical
Characteristics

Characteristic Data
Image extension jpg
Extension of labeling file json
Source and collection methodology. Data was collected by UniData team by using the crowdsourcing service

Dataset Use Cases

  • Computer Vision & Machine Learning

    Training Models for Facial Landmark Detection

    Facial Keypoint Detection Dataset provides detailed facial keypoints and annotated landmarks on human faces, making it ideal training data for developing keypoints detection and facial recognition models. The datasets contain accurately labeled keypoint positions, enabling algorithms to learn detection methods that improve detection accuracy and model robustness in real-world conditions.

  • Human-Computer Interaction & Emotion Analysis

    Recognizing Facial Expressions and Emotions

    This facial detection dataset supports research in expression recognition and emotion recognition by mapping facial landmarks that correspond to different facial expressions. The dataset consists of diverse human faces displaying various emotional states, helping developers train recognition algorithms that interpret facial expressions for applications like virtual assistants, interactive avatars, and psychological behavior studies.

  • Augmented Reality & 3D Modeling

    Improving Face and Pose Estimation Systems

    Facial Keypoints Detection Dataset is valuable for building 3D faces and pose estimation systems. By providing labeled head poses, key points, and bounding boxes, the dataset helps train face detector models used in AR filters, motion tracking, and object detection frameworks that rely on precise landmark detection.

  • Security & Biometric Identification

    Enhancing Accuracy in Face Recognition Systems

    This keypoint dataset strengthens facial recognition and biometric verification solutions by improving landmark detection and keypoint detector performance. The datasets consist of carefully annotated custom datasets with validation and test splits, enabling training processes that refine recognition algorithms for secure authentication, surveillance, and identity verification applications in modern face recognition technologies.

FAQs

What is included in this dataset?
The dataset includes over 5,000 close-up facial images, each annotated with 15 key landmarks such as the eyes, eyebrows, nose, and mouth. These annotations are provided in JSON format for easy integration into facial keypoints detection and landmark recognition systems.
How was the dataset collected?
The dataset was created through crowdsourced data collection, where contributors provided high-quality facial images under different lighting and pose conditions. This ensures that the dataset covers a wide range of human faces, head poses, and facial expressions for robust model training.
What are the sources of data for Unidata datasets?
Facial Keypoint Detection Dataset was collected by the Unidata team using a crowdsourcing service. All images feature real human faces captured under various lighting and pose conditions to provide diverse training data for facial recognition systems.
Can I request a sample of the dataset before purchasing?
Yes. Unidata provides free dataset samples for evaluation purposes. This allows you to review the image quality, annotation accuracy, and facial landmark labeling before purchasing the full version for facial keypoints detection or emotion recognition projects.
Is it possible to request a custom dataset?
Yes. Unidata offers custom datasets designed to meet your specific needs. You can request additional facial landmarks, different demographic distributions, or annotation formats to support your recognition algorithms and machine learning experiments.
How are Unidata datasets licensed?
Unidata datasets follow a dual-licensing model. Free samples are available for testing and validation, while the full dataset is available for purchase for research, training, or commercial use.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. All datasets are developed in full compliance with GDPR and relevant data protection laws. The data is collected ethically through legal channels, ensuring the responsible handling of personal and biometric information.
How are Unidata datasets stored?
Unidata securely stores all datasets on AWS cloud infrastructure. This ensures data protection, high availability, and scalability, following ISO 27001 and ISO 27701 standards to maintain international information security and privacy management compliance.
Still have questions about using Unidata datasets? Read our user-guides

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