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Commercial
Synthetic Passports Dataset
The passport dataset comprises synthetic document images from multiple countries with metadata and is designed for training AI models in face recognition, identity verification, and document analysis to detect fake passports and prevent identity fraud
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- Images
- 100 000
-
- Countries
- 100+
- Know your customer
- Data generation
- Computer Vision
- Security
- Anti-spoofing
- Know your customer
- Data generation
- Computer Vision
- Security
- Anti-spoofing
The passport dataset comprises synthetic document images from multiple countries with metadata and is designed for training AI models in face recognition, identity verification, and document analysis to detect fake passports and prevent identity fraud
- Know your customer
- Data generation
- Computer Vision
- Security
- Anti-spoofing
-
- Images
- 100 000
-
- Countries
- 100+
Dataset Info
| Characteristic | Data |
| Description | Generated passports for training a neural network to identify a document |
| Data types | Image |
| Tasks | Face recognition, Computer Vision |
| Total number of files | 100 000 |
| Number of countries | 100+ |
| Labeling | Metadata (background) |
| Gender | Male, Female |
| Countries | Albania, Algeria, Andorra, Argentina, Armenia, Australia, Austria, Azerbaijan, Bahrain, Bangladesh, Belarus, Belgium, Bosnia and Herzegovina, Brazil, Brunei, Bulgaria, Cambodia, Canada, China, Croatia, Cyprus, Czech Republic, Denmark, Egypt, Estonia, Finland, France, Georgia, Germany, Greece, Hong Kong (HKSAR), Hungary, India, Indonesia, Iraq, Ireland, Israel, Italy, Japan, Jordan, Kazakhstan, Kuwait, Kyrgyzstan, Laos, Latvia, Lebanon, Liechtenstein, Lithuania, Luxembourg, Malaysia, Malta, Mexico, Moldova, Mongolia, Montenegro, Morocco, Myanmar, Nepal, Netherlands, New Zealand, North Macedonia, Norway, Oman, Pakistan, Palestine, Philippines, Poland, Portugal, Qatar, Romania, Russia, Russia Standart, Saudi Arabia, Serbia, Singapore, Slovakia, Slovenia, South Africa, South Korea, Spain, Sri Lanka, Sweden, Switzerland, Taiwan, Tajikistan, Thailand, Tunisia, Turkey, Turkmenistan, UAE, UK, Ukraine, USA, Uzbekistan, Vatican, Vietnam and others |
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Technical
Characteristics
| Characteristic | Data |
| Image Extensions | png |
| Data Type | generated |
Dataset Use Cases
FAQs
What is Synthetic Passports Dataset used for?
It is designed for training learning models in computer vision, fraud detection, and identity verification. It helps develop systems for detecting fake documents, preventing identity fraud, and improving verification systems that process passport photos and other identification documents.
Does the dataset contain real personal information?
No. The dataset is fully AI-generated and does not contain real passport holders or genuine personal identity information. This makes it suitable for AI development where privacy, compliance, and data security are important considerations.
Is it possible to request a custom dataset?
Yes, Unidata provides the option to create custom datasets tailored to your project needs. You can specify the data sources, annotation types, or formats, and the dataset will be collected and labeled according to your requirements.
What should I consider before buying this dataset?
When purchasing it, consider the document types, document layout, and country coverage to ensure it meets your project’s needs. Since the dataset consists of synthetic datasets rather than real identity documents, it is best suited for training anti-spoofing, verification solutions, and computer vision models without handling actual personal information.
Is this a real-world dataset or synthetic data?
This passport dataset is synthetic data, not a real-world collection. All passport images are AI-generated and include metadata such as gender and background.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. All our datasets follow GDPR standards and meet privacy legislation requirements. Data collection is performed solely through lawful methods.
How is the data stored?
All Unidata datasets are safeguarded on AWS’s reliable cloud infrastructure, designed for availability and growth. We operate under ISO 27001 and ISO 27701 standards, internationally recognized for strong security and privacy measures. This provides clients with a dependable and compliant data environment.
How long does it take to receive the dataset?
Once you submit a request, our team will contact you to confirm details and complete the necessary documents. After the agreement is signed and payment is processed, the dataset is typically delivered within 3–10 days.
Still have questions about using Unidata datasets?
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Before You Buy The Full Set
This dataset is available for AI stress testing. We run your model on it and report error rates per class, segment & condition, so you buy only the 5–30% that fixes the classes it missed.
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