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Instagram Faces Image Dataset

This large-scale face dataset contains over 34 million images of human faces from Instagram, annotated with ID, age, gender, and ethnicity (Asian, Caucasian, African, Middle Eastern, Latino Hispanic, and Indian). Designed for facial recognition, detection, and identity verification, it supports training computer vision models using rich facial features and diverse demographic metadata.

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  • images
    34 559 210
  • Facial Recognition
  • Computer Vision
  • Machine learning
  • Anti-spoofing

This large-scale face dataset contains over 34 million images of human faces from Instagram, annotated with ID, age, gender, and ethnicity (Asian, Caucasian, African, Middle Eastern, Latino Hispanic, and Indian). Designed for facial recognition, detection, and identity verification, it supports training computer vision models using rich facial features and diverse demographic metadata.

Get in touch Download sample
  • Facial Recognition
  • Computer Vision
  • Machine learning
  • Anti-spoofing
  • images
    34 559 210

Dataset Info

Characteristic Data
Description Image of people for facial recognition
Data types Image
Tasks Facial recognition, Computer Vision
Number of images 34 559 210
Labeling Metadata (ID, age, gender, ethnicity)
Gender Male, Female
Ethnicity Asian, Caucasian, African, Middle Eastern, Latino Hispanic, Indian
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Statistics

Distribution by ethnicity

Technical
Characteristics

Characteristic Data
Image extension jpg
Source and collection methodology. Data was obtained by parsing photos from Instagram.

Dataset Use Cases

  • Social Media Analytics

    Enhancing Facial Recognition Models

    Instagram Faces Image Dataset provides a large collection of face images sourced from social media, supporting face recognition and facial attributes analysis. This dataset enables developers to train recognition algorithms for identifying human faces and analyzing facial expressions, improving accuracy in identity verification and emotion classification applications.

  • Computer Vision Research

    Benchmarking Facial Detection Systems

    Researchers use this Instagram dataset to test face detection algorithms and validate recognition systems across diverse facial features and expressions. The dataset’s breadth and variety allow for training sets that reflect real-world social media images, making it suitable for academic studies, benchmarking datasets, and machine learning experiments.

  • Security and Surveillance

    Training Anti-Spoofing and Verification Models

    This face recognition dataset supports the development of identity verification systems and safeguards against spoofing attacks. With manually labelled facial keypoints and bounding boxes, security applications can utilize the dataset for face identification, landmark detection, and recognition technology, enhancing video surveillance and authentication tools.

  • Commercial AI Applications

    Developing Personalized and Generative Models

    Companies can use Instagram Faces Image Dataset to train deep learning and pre-trained models for commercial use, such as generative avatars, emotion classification, and user engagement analysis. The dataset’s diversity of facial expressions and human faces provides robust training data for recognition projects in marketing, software, and social media analytics.

FAQs

What is included in Instagram Faces Image Dataset?
The dataset consists of 34,559,210 face images in JPG format, covering diverse demographics with metadata including ID, age, gender, and ethnicity. It supports deep learning, pre-trained models, and generative model training.
Can I request a sample of Instagram dataset before purchase?
Yes. Free sample images are available to evaluate image quality, annotation format, and dataset structure before committing to the full dataset.
Is it possible to request a custom Instagram Faces Dataset?
Yes. Unidata can create custom datasets tailored to your research or commercial needs, such as specific demographics, facial attributes, or emotion categories.
How was the data collected?
Data was obtained by parsing publicly available Instagram images, then processed and manually verified for quality, accuracy, and ethical compliance. This ensures reliability for facial recognition and computer vision applications.
How are Unidata datasets licensed?
Unidata datasets follow a dual-licensing model: free samples are provided for testing and evaluation, while full datasets are available exclusively for purchase. Licensing terms cover both research and commercial applications.
Do Unidata datasets follow GDPR or other privacy regulations?
Yes. All datasets are curated in compliance with GDPR and other data privacy laws. Only legally accessible and ethically sourced data is included to ensure lawful usage.
How are Unidata datasets stored?
Datasets are securely stored on AWS cloud infrastructure, ensuring high availability and scalability. Storage and management comply with ISO 27001 and ISO 27701 standards, safeguarding data privacy and integrity.
How long does it take to receive the dataset?
After request submission and document review, the full dataset is delivered within 3–10 days following payment and agreement completion.
Still have questions about using Unidata datasets? Read our user-guides

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