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Commercial
Synthetic Printed Australian Passports Dataset
Contains 5,000 high-resolution, AI-generated Australian passport images designed for OCR, computer vision, and PII extraction tasks. This synthetic ID dataset features realistic passport images captured under diverse angles, lighting conditions, and backgrounds, with annotations for gender, age group, resolution, and metadata, making it ideal for training machine learning models for identity document recognition while ensuring data privacy.
-
- Images
- 5 000
- PII
- Data generation
- Security
- Anti-spoofing
- Computer Vision
- PII
- Data generation
- Security
- Anti-spoofing
- Computer Vision
Contains 5,000 high-resolution, AI-generated Australian passport images designed for OCR, computer vision, and PII extraction tasks. This synthetic ID dataset features realistic passport images captured under diverse angles, lighting conditions, and backgrounds, with annotations for gender, age group, resolution, and metadata, making it ideal for training machine learning models for identity document recognition while ensuring data privacy.
- 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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Technical
Characteristics
| Characteristic | Data |
| Image Extensions | HEIC |
| Data Type | generated |
Dataset Use Cases
FAQs
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.
Why is a synthetic Australian passport dataset valuable for AI training?
A synthetic Australian passport dataset provides realistic document examples for developing AI models without using real identity documents. It helps organizations train OCR, document recognition, and identity verification systems while reducing privacy risks associated with sensitive personal data.
Still have questions about using Unidata datasets?
Read our user-guides
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