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Disclaimer: All passport images and associated data in this dataset are synthetically generated and do not correspond to real individuals. Any names, numbers, or personal details are fictional and used solely for research and development purposes.
Introduction - Luxembourg
The Synthetic Luxembourg Passports Dataset assembles more than 1,000 AI-generated passport images crafted for training OCR and computer vision models on identity documents. Each record is fully synthetic, so the collection contains no real personal information or biometric data β a privacy-compliant foundation for building identity verification, KYC, and fraud-detection pipelines. - Get the data
The dataset is scalable on request β additional images and metadata can be produced to your specifications, typically within one week.
Each image is captured on either a clean white background or a mix of realistic settings β desks, walls, and other everyday surfaces β helping models adapt more reliably to production-grade scenarios.
Coverage spans 50+ countries (including Belgium, Netherlands, France, Germany, Switzerland, and more). Submit a request via the website to learn more.
Each image is paired with rich structured metadata describing the document's personal fields β passport number, full name, signature, date of birth, sex, place of birth, issuing authority, nationality, document type, and the machine-readable zone (MRZ) β alongside technical attributes such as resolution and category.
Dataset general info
| Characteristic | Data |
|---|---|
| Description | Synthetic passport images with detailed metadata for ML model training in PII extraction |
| Data types | Image + structured metadata |
| Tasks | OCR, Computer Vision |
| Total number of files | 1000+ (scalable on request) |
| Labeling | Passport Number, Passport Number (split), Surname, Given Name, Signature, Date of Birth, Date of Issue, Date of Expiry, Sex, Place of Birth, Issuing Authority, Nationality, Nationality Code, Document Type, MRZ |
| Gender | Male, Female |
| Backgrounds | White and varied (desk, wall, and other surfaces) |
| Countries | 50+ available (Belgium, Netherlands, France, Germany, Switzerland, and more β on request) |
| Image format | JPG |
| Data generation | AI-generated |
| Source of images | AI-generated |
The dataset comprises 1,000+ synthetic passport images, each tied to a complete identity-style record and structured annotations. Additional samples can be produced on request within one week, and the imagery covers both clean white scenes and varied background environments.
Metadata fields include:
| Field | Example |
|---|---|
| Passport number | KA1234567 |
| Passport number (split) | K A 1 2 3 4 5 6 7 |
| Surname and given name | SCHMIT MARC |
| Signature | Marc Schmit |
| Date of birth | 25 NOV 1986 |
| Date of issue | 08 MAY 2022 |
| Date of expiry | 08 MAY 2032 |
| Sex | M |
| Place of birth | LUXEMBOURG |
| Issuing authority | MIN. AFFAIRES ETRANGERES |
| Nationality | LUXEMBOURG |
| Nationality code | LUX |
| Document type | P |
| Machine-readable zone (MRZ) | P<LUXSCHMIT<<MARC<<<<<<<<<<<<<<<<<<<<<<<<<<<KA12345670LUX8611253M3205081<<<<<<<<<<<<<<00 |
Use cases - Luxembourg
Training document verification systems
Banks, fintech firms, and border-control units can apply this dataset to teach models how to verify identity documents across a wide variety of real-world conditions. Structured metadata enables accurate field extraction and validation, while a mix of backgrounds reinforces robustness once models are deployed.
Building fraud detection pipelines
Compliance and security teams can rely on these synthetic samples to compose high-quality training corpora without involving real travel documents. Full passport field coverage and complete MRZ strings allow both standard records and anomalous patterns to be modelled and tested with confidence.
FAQ
Is this real-world or synthetic data?
All images are AI-generated and contain no biometric data or personal information tied to real individuals.
Can I request a custom dataset size?
Yes β the dataset is scalable, and additional samples can be generated based on your requirements within one week.
Can I request country-specific data?
Yes β support for 50+ countries is available. Please submit a request to get detailed coverage and samples.
Can I request a sample before purchasing?
Yes β free samples are available so you can evaluate image quality, metadata structure, and variation coverage before committing.
How is the dataset delivered?
After purchase, the dataset is delivered via secure AWS cloud infrastructure compliant with ISO 27001 and ISO 27701.
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