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Selfie-with-ID

The dataset contains over 65,000 photos of more than 5,000 individuals from 40 countries, providing a valuable resource for exploring and developing authentication solutions. It is especially suitable for biometric verification, notably facial recognition in financial services. Each individual includes 13 selfie images and 2 ID photos captured with various devices and resolutions. The dataset aims to develop more robust re‑identification algorithms and enhance security measures across applications.

Updated 11/13/2024
huggingface

Description

Selfie Identity Dataset - 2 ID Photo, 13 Selfie

Overview

  • Data volume: Over 65,000 images covering more than 5,000 people from 40 countries.
  • Purpose: Suitable for developing authentication solutions, especially facial recognition and financial services.
  • Task type: Image classification
  • Tags: selfie, document, computer vision, cybersecurity, person, image, photo, verification
  • Scale: 10K < n < 100K

Dataset Characteristics

  • Photo types: Each individual provides 13 selfies and 2 ID photos.
  • Background diversity: Selfies captured under varied backgrounds and lighting conditions.
  • Devices: Images taken with a range of devices such as Samsung M31, Infinix Note11, Tecno Pop 7, Samsung A05, iPhone 15 Pro Max, etc.
  • Resolution: 1000 × 750 px and higher.

Application Scenarios

  • Authentication: Used to develop stronger re‑identification algorithms, ensuring privacy and security.
  • Financial services: Improves customer registration experience, streamlines verification, and reduces fraud.
  • Government agencies: Enhances security measures.

Access

  • Preview: Limited preview provided.
  • Full dataset: Contact UniDataPro for the complete dataset and pricing options.

License

  • License: CC BY‑NC‑ND 4.0

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Topics

Authentication
Face Recognition

Source

Organization: huggingface

Created: 11/7/2024

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