---
title: "Synthetic Printed Canadian Passports Dataset"
description: "Includes 5,000 high-resolution, AI-generated Canadian passport images captured under varied angles, lighting, and backgrounds. Designed for OCR, computer vision, and identity verification research, this synthetic…"
url: "https://unidata.pro/datasets/synthetic-printed-canadian-passports/"
date_modified: "2026-02-16T22:39:21+03:00"
language: "en-US"
---
Includes 5,000 high-resolution, AI-generated Canadian passport images captured under varied angles, lighting, and backgrounds. Designed for OCR, computer vision, and identity verification research, this synthetic ID dataset provides realistic passport images for training secure document recognition and personal data extraction systems.

## Dataset Structure

### The Numbers Section

**Numbered list:** - **Number:** 5 000 — **Text:** Images

### Tooltips Section

**Tooltip items:**

- **Name:** PII
- **Name:** Data generation
- **Name:** Security
- **Name:** Anti-spoofing
- **Name:** Computer Vision

### Dataset Information

**Table with data:**

| 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, Gender, Age Group, Angle, Distance, Category, Resolution, Camera, Light Condition, Background, Timestamp) |
| Gender | Male, Female |

**Media Slider:**

- **Image in the slider:** ![Synthetic Printed Canadian Passports Dataset](https://unidata.pro/wp-content/uploads/2025/10/canadian-passports-dataset-scaled.webp)
- **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/10/canadian-passposrt.webp)

**Link to the sample:** [Download sample](https://drive.google.com/drive/folders/1x5vNwbHurwnOgjYgaG9rDVLY3ici4WpO)

### Technical Specifications

**Table with data:**

| Characteristic | Data |
| --- | --- |
| Image Extensions | HEIC |
| Data Type | generated |

**Source and data collection methodology:** Source and collection methodology: Data was AI-generated.

### Dataset Use Cases - Slider

**Industry Cards:**

- **Industry:** Finance and Digital Services — **Title:** Enhancing Automated Identity Verification Systems — **Text:** Financial institutions and digital platforms use Synthetic Printed Canadian Passports Dataset to train AI models that verify customer identities and detect fraudulent documents. With high-quality synthetic passport images and annotated metadata, this dataset helps improve OCR accuracy, extract personal information fields, and strengthen KYC and AML compliance in banking and fintech applications.
- **Industry:** Government and Immigration — **Title:** Optimizing Border Control and Document Authentication — **Text:** Government agencies and immigration systems leverage this dataset to test and validate document recognition technologies. It supports the development of AI-based passport systems capable of distinguishing real and synthetic documents, identifying expired or altered travel documents, and improving the security of identity verification for Canadian residents and foreign travelers.
- **Industry:** Artificial Intelligence Research — **Title:** Training Models for Document Analysis and Data Extraction — **Text:** Researchers in computer vision and deep learning rely on the dataset to develop and evaluate models that process structured and unstructured identity data. Containing synthetic Canadian passport images with varied lighting, angles, and backgrounds, it offers an ideal source for studying PII extraction, data security, and automated document processing.
- **Industry:** Cybersecurity and Compliance — **Title:** Testing Secure Data Handling and Privacy Mechanisms — **Text:** This dataset allows cybersecurity teams to simulate identity-based threats without exposing real user data. The synthetic generation ensures privacy protection while enabling the testing of secure databases, digital identity management tools, and AI-driven authentication systems used by governments, corporations, and international organizations.

### Fact

**FAQs Heading:** FAQs

**List of Questions:**

- **Question:** How was the dataset collected? — **Answer:** All images of Synthetic Printed Canadian Passports Dataset were generated using advanced AI modeling and rendering systems. The dataset does not involve real passports or personal information from Canadian government databases, ensuring complete privacy and synthetic authenticity.
- **Question:** Can I request a sample of the dataset before purchase? — **Answer:** Yes. Unidata provides free samples of the Canadian passport dataset for trial, validation, and testing purposes. These samples enable you to review the quality and structure of the synthetic passport images before making a full purchase.
- **Question:** How long does it take to receive the dataset after purchase? — **Answer:** After submitting a request, Unidata will contact you to confirm the details and complete the necessary documentation. Once the agreement and payment are finalized, the dataset is delivered digitally within 3–10 business days.
- **Question:** Is this a real-world dataset or synthetic data? — **Answer:** This is a fully synthetic dataset. It does not include real passports, government-issued documents, or personal data.
- **Question:** Can this dataset be used to train models for digital onboarding and eKYC? — **Answer:** Yes. The synthetic Canadian passport dataset is suitable for training AI systems used in electronic Know Your Customer (eKYC), digital onboarding, and automated identity verification. It enables developers to improve document parsing and personal data extraction without relying on real identity documents.
- **Question:** Why use synthetic passport images instead of real documents? — **Answer:** Synthetic passport images provide realistic training data without exposing real personal information, making them ideal for privacy-preserving AI development.
- **Question:** How are Unidata datasets stored? — **Answer:** Unidata securely stores all datasets on AWS cloud infrastructure, ensuring high availability and scalability. Data storage practices comply with ISO 27001 and ISO 27701 standards for information security and privacy management, guaranteeing a secure environment for sensitive synthetic data.
- **Question:** How are Unidata datasets licensed? — **Answer:** Unidata datasets follow a dual-licensing model: free samples are available for trial and testing, while full datasets are accessible only through purchase. This approach ensures both accessibility for research and protection of proprietary synthetic generation methods.
- **Question:** Do Unidata datasets comply with GDPR and other privacy laws? — **Answer:** Yes. All datasets are developed and maintained in full compliance with GDPR and applicable international data protection regulations. Synthetic passport data is generated from legally permissible sources, ensuring ethical handling and lawful distribution.

[Full list of this site's AI-readable pages](https://unidata.pro/llms.txt)