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Synthetic Printed NZ Passports Dataset

This synthetic NZ passports dataset features 5,000 high-resolution, AI-generated New Zealand passport images captured under varied angles, lighting, and backgrounds. Designed for OCR, computer vision, and identity verification research, this NZ passport dataset supports training models in PII extraction, document recognition, and synthetic passport analysis with rich metadata annotations.

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  • Images
    5 000
  • PII
  • Data generation
  • Security
  • Anti-spoofing
  • Computer Vision

This synthetic NZ passports dataset features 5,000 high-resolution, AI-generated New Zealand passport images captured under varied angles, lighting, and backgrounds. Designed for OCR, computer vision, and identity verification research, this NZ passport dataset supports training models in PII extraction, document recognition, and synthetic passport analysis with rich metadata annotations.

Get in touch Download sample
  • PII
  • Data generation
  • Security
  • Anti-spoofing
  • Computer Vision
  • Images
    5 000

Dataset Info

Characteristic Data
Description Printed synthetic passport images for training ML models in PII extraction
Data types Image
Tasks OCR, Computer Vision
Total number of files 5 000
Number of files in a set 96 (Angles - 3, Lighting - 4, Backgrounds - 4, Distances - 2)
Angles 0°, 25°, 45°
Lighting Natural-daylight, Office-LED, Warm-indoor, Dim-light
Backgrounds Neutral wall, Textured desk, Outdoor pavement, Docs-on-docs
Distance Close (80-90 % frame), Medium (50-60 %)
Labeling Metadata (Passport ID, Sample ID, Class, Country, Gender, Age Group, Angle, Distance, Category, Resolution, Camera, Light Condition, Background, Timestamp)
Gender Male, Female
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Statistics

Distribution by gender

Technical
Characteristics

Characteristic Data
Image Extensions HEIC, JPG
Data Type generated
Source and collection methodology: Data was AI-generated.

Dataset Use Cases

  • Government and Border Control

    Automated Passport Verification Systems

    This Synthetic Printed NZ Passports Dataset helps improve automated verification systems used at border checkpoints and passport control. With diverse New Zealand passport images reflecting different lighting, angles, and backgrounds, developers can train reliable identity verification and document recognition models that ensure accurate validation of travel documents.

  • Financial and Online Services

    KYC and Digital Identity Verification

    Banks, fintech platforms, and online services use this New Zealand passport dataset to train algorithms for Know Your Customer (KYC) and identity authentication. The dataset supports accurate extraction of personal data from passport photos and metadata, helping businesses streamline onboarding while maintaining compliance with global identity verification standards.

  • AI and Machine Learning Research

    Synthetic Data for Model Training

    Researchers and AI engineers use this Synthetic Passports Dataset to develop and test computer vision models without handling sensitive personal data. The dataset’s balanced mix of genders, lighting conditions, and backgrounds makes it ideal for training OCR systems and document segmentation algorithms under realistic yet controlled conditions.

  • Travel and Immigration Technology

    Enhancing Automated Check-in and E-Visa Systems

    Travel technology providers leverage NZ passport images to enhance systems that process visa applications, online forms, and digital travel documents. By integrating this dataset into AI-driven passport scanning tools, developers can improve accuracy in recognizing foreign citizens’ passports and validating entries from additional countries in real-world scenarios.

FAQs

What is included in this dataset?
The dataset includes 5,000 AI-generated images of printed New Zealand passports captured at various angles (0°, 25°, 45°), lighting conditions, backgrounds, and distances. Each image is paired with detailed metadata, making it suitable for advanced OCR and synthetic passport training.
Can I request a sample before purchasing or downloading?
Yes. You can request a free sample of the dataset to evaluate image quality, labeling accuracy, and metadata structure. The sample allows you to verify that it aligns with your model training objectives before completing the purchase.
Is it possible to request a custom dataset?
Absolutely. Custom synthetic passport datasets can be generated upon request to match specific parameters such as country, layout, lighting conditions, or background. This helps businesses, researchers, and developers create tailored training data for OCR, PII extraction, or document verification systems.
How are Unidata datasets licensed?
Unidata datasets follow a dual-licensing model - free samples are available for testing and evaluation, while full datasets are accessible through purchase. This approach ensures transparent access for both research and commercial use.
Do Unidata datasets follow GDPR or other privacy regulations?
Yes. All Unidata datasets are developed in accordance with GDPR and other global data protection laws. The data is synthetic, derived from lawful AI generation processes, ensuring ethical handling and privacy compliance.
How are Unidata datasets stored?
Unidata securely stores all datasets on AWS cloud infrastructure, ensuring high availability, scalability, and security. Storage methods comply with ISO 27001 and ISO 27701 standards, safeguarding synthetic data collections for long-term reliability and privacy.
How long does it take to receive the dataset?
Once your request is submitted, our team will contact you to confirm details and finalize the documentation. After signing and payment, your dataset will be delivered securely within 3–10 days.
Is this a real-world dataset or synthetic data?
This is a synthetic dataset, created using advanced AI models that replicate New Zealand passport images. No real individuals or documents are involved, making it ideal for machine learning, data privacy compliance, and scalable OCR model training.
Still have questions about using Unidata datasets? Read our user-guides

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