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Synthetic Printed Australian Passports Dataset

Synthetic Printed Australian Passports Dataset contains 5,000 high-resolution, AI-generated files with Australian passport images designed for OCR, computer vision, and PII extraction tasks. This synthetic passport dataset features diverse angles, lighting conditions, and backgrounds, with detailed annotations for gender, age group, resolution, and metadata, making it ideal for training machine learning models on identity document recognition while ensuring data privacy.

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  • Images
    5 000
synthetic-australian-passport dataset
  • PII
  • Data generation
  • Security
  • Anti-spoofing
  • Computer Vision

Synthetic Printed Australian Passports Dataset contains 5,000 high-resolution, AI-generated files with Australian passport images designed for OCR, computer vision, and PII extraction tasks. This synthetic passport dataset features diverse angles, lighting conditions, and backgrounds, with detailed annotations for gender, age group, resolution, and metadata, making it ideal for training machine learning models on identity document recognition while ensuring data privacy.

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
synthetic-australian-passport dataset
synthetic australian passport dataset
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Technical
Characteristics

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

Dataset Use Cases

  • Financial Services

    Preventing Fraud in Banking Systems

    Synthetic Printed Australian Passports Dataset helps banks and fintech companies develop stronger fraud detection models. By training on synthetic passport images rather than real identity documents, institutions can test security workflows without exposing personal data, card numbers, or bank accounts, ensuring compliance with Australian privacy regulations.

  • Government & Border Control

    Enhancing Identity Verification Protocols

    This passport dataset allows government agencies and visa holders’ services to simulate verification processes safely. With Australian passport images generated synthetically, border systems can refine recognition methods for travel documents while avoiding risks tied to passport databases containing sensitive personal information.

  • Cybersecurity & Data Protection

    Training Models Against Identity Theft

    Security teams can use this synthetic ID dataset to build models that detect attempts to exploit online services with forged identity documents. Since the dataset includes passport photo images free of real documents containing personal information, organizations can prepare for data breaches and spoofing scenarios responsibly.

  • AI & Machine Learning Research

    Developing Document Recognition Models

    The passport photo dataset provides a large set of synthetic Australian passports for training recognition systems. Researchers in deep learning can use these images to improve identity verification algorithms, test liveness detection, and evaluate document classification models without relying on real passports held by citizens of other countries.

FAQs

What is included in this dataset?
The dataset comprises 5,000 files of synthetic Australian passport images, featuring variations in angles, lighting, backgrounds, and distances. Each file is enriched with detailed metadata annotations, covering gender, age group, passport ID, resolution, and environmental conditions.
Is this a real-world dataset or synthetic data?
This dataset is synthetic data, created using AI-based generation techniques. It provides realistic passport photo datasets without exposing actual identity documents, ensuring strong compliance with privacy and security regulations.
What types of annotations are provided?
Annotations include metadata fields such as passport ID, sample ID, gender, age group, angle, distance, background type, and lighting condition. These detailed labels help improve model accuracy in recognizing identity documents and handling personal information securely.
Can I request a sample of the dataset before purchasing?
Yes. Unidata datasets follow a dual-licensing model, where free samples are available for trial and testing. This allows you to evaluate the passport images and annotation quality before purchasing the full synthetic passport dataset.
Is it possible to request a custom dataset?
Yes. Custom datasets can be created to meet specific project requirements, such as different identity documents, resolutions, or annotation formats.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. All datasets are curated in compliance with GDPR and other data protection laws, ensuring ethical data handling. Since this is a synthetic passport dataset, it avoids the risks of using real personal information and eliminates concerns about data breaches.
How are Unidata datasets stored?
Unidata datasets are securely stored on AWS cloud infrastructure, ensuring high availability and scalability. Storage practices comply with ISO 27001 and ISO 27701 standards, providing a secure and privacy-focused environment for handling sensitive data.
How long does it take to receive the dataset?
Once you submit a request, Unidata will review the details with you and provide the necessary documentation. After signing and payment, the dataset is typically delivered within 3–10 days.
Still have questions about using Unidata datasets? Read our user-guides

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