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Selfie with ID Dataset

Selfie with ID Dataset contains high-quality selfie images and ID documents for robust facial recognition and identity verification tasks in KYC applications.

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  • Photos
    65,000+
  • People
    5,000+
  • Countries
    40+
  • Re-identification
  • Facial Recognition
  • Computer Vision
  • Security
  • iBeta
  • Photos
    65,000+
  • People
    5,000+
  • Countries
    40+

Dataset Info

Characteristic Data
Description Photos of individuals and their identification documents for facial recognition tasks.
Data types Image
Tasks Face recognition, Computer Vision, Biometric Verification
Total number of images 65,000
Total number of people 5,000
Number of files in a set 15 (13 selfies and 2 photos of document)
Labeling Only technical characteristics and metadata (age, gender, ethnicity)
Gender Male, Female
Ethnicity Caucasian (90%), African (10%)
Number of country 40
Type of document Passports, international passports, driver licenses, student cards, health certificates, membership/bank/transport cards, certificates, etc
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Statistics

Distribution by gender
Distribution by country
Distribution by age
Distribution by country

Technical
Characteristics

Characteristic Data
Image Extensions Jpg, jpeg, heic
Devices Xiaomi redmi note 10s, Infinix smart 8, Samsung, iPhone 11, Xiaomi Redmi 14C, iPhone X, Redmi and etc.
Source and collection methodology: Data was collected via crowdsourcing platforms.

What is included in Selfie with ID Dataset?
The dataset consists of selfie images paired with ID documents, covering multiple facial features, ID photos, and personal information variations. It includes diverse demographics, enabling accurate document verification, face recognition, and the development of recognition models.
What are the sources of data for Unidata datasets?
Selfie and ID Dataset is collected from legally permissible sources, including crowdsourcing platforms and in-house data capture teams. All selfies and documents dataset entries are validated to ensure high-quality facial images and ID documents for reliable recognition technology testing.
What types of annotations are provided?
The dataset includes annotations for facial landmarks, ID document metadata, and identity verification attributes. These annotations support facial recognition, verification systems, and biometric data analysis in benchmark datasets and recognition technology applications.
Can I request a sample of the dataset before purchasing?
Yes. Unidata provides a sample of the selfie with ID dataset so you can evaluate the dataset quality, selfie photos, and ID documents coverage. This allows you to test its applicability for document verification and facial recognition before making a purchase.
Still have questions about using Unidata datasets? Read our user-guides

Dataset Use Cases

  • Financial Services

    KYC and Remote Onboarding

    Selfie with ID Dataset supports banks and fintech platforms in improving identity verification during digital onboarding. The dataset contains paired selfie photos and ID documents, allowing recognition systems to confirm customer identities. This reduces fraud, strengthens verification systems, and ensures compliance with KYC requirements for secure financial transactions.



  • Telecommunications

    Subscriber Verification and SIM Registration

    Telecom companies use the Selfies & ID Images Dataset to validate ID cards during new SIM activation and subscription management. By matching facial images from selfie photos with official ID photos, providers enhance document verification, prevent fraudulent accounts, and protect personal information while meeting regulatory compliance standards.



  • E-Government Services

    Digital Identity Authentication

    The Selfies and Documents Dataset enables public agencies to strengthen identity verification in e-government platforms. Since the dataset consists of aligned facial images and ID documents, it helps train systems that authenticate citizens securely. This safeguards access to public services, reduces impersonation risks, and ensures safe handling of sensitive personal information.



  • Technology and Biometrics Industry

    Training and Benchmarking Models

    For technology companies and research groups, the Selfie and ID Dataset provides high-quality biometric data for recognition technology development. It serves as training data and testing data for recognition models that compare facial features in selfie images with ID photos. This supports learning models, improves selfie apps, and advances global verification systems.



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