Selfie with ID Dataset - 69,435 images for Re-identification and Facial Recognition
Overview
Selfie with ID Dataset - 69,435 images for Re-identification and Facial Recognition is an image dataset. The provider states a volume of 69,435 images. Typical applications include object detection. Relevant sectors: Customer Service. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Stated volume of 69.4k images.
Overview The Selfie with ID Dataset is a commercial biometric image dataset produced by the provider, designed for training and evaluating facial recognition, re-identification, and identity verification systems. It contains 69,435 images of 4,629 individuals from 85 countries, making it one of the most geographically diverse selfie image datasets available for KYC and document verification tasks. Each person in the dataset is represented by a set of 15 files: 13 selfie photos taken against diverse backgrounds and under varying lighting conditions, plus 2 photos of identity documents from different document types. This pairing structure makes the dataset particularly valuable for building and benchmarking recognition models that match facial images from real-world selfies against official ID photos. Dataset Structure Each individual set includes: - 13 selfie images — captured under different lighting, backgrounds, and camera angles - 2 ID document photos — taken from different document types per person Supported document types include: - Passports and international passports - Driver's licenses - Student cards - Health certificates - Bank, transport, and membership cards - Other official certificates Image formats: JPG, JPEG, HEIC Resolution: 1000×750 and higher Subject Demographics Both male and female participants are represented across a wide age range and 85 countries. Annotations per subject include technical metadata: age, gender, and country of origin. Age distribution: 1.
Technical specifications
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- Language
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- Volume
- 87.3k files
- Domain
- Customer Service
- Use case
- Object detection
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