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ud-synthetic/dutch-passports

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 - Netherlands The Synthetic Netherlands Passports Dataset gathers more than 1,000 AI-generated passport images crafted for training OCR and computer vision systems on identity documents. Each record is fully synthetic… See the full description on the dataset page: https://huggingface.co/datasets/ud-synthetic/dutch-passports.

sourceHugging Facecc-by-nc-nd-4.0updated 2mo agoView on Hugging Face
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Dataset Card
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 - Netherlands

The Synthetic Netherlands Passports Dataset gathers more than 1,000 AI-generated passport images crafted for training OCR and computer vision systems on identity documents. Each record is fully synthetic, so the collection holds no real personal data or biometric details — a privacy-compliant base for building identity verification, KYC, and fraud-detection pipelines. - [Get the data](https://unidata.pro/datasets/synthetic-passports/?utm_source=huggingface-synthetic&utm_medium=referral&utm_campaign=synthetic-netherlands-passports)

The dataset is scalable on demand — further images and metadata can be produced to match your specifications, typically within one week.

Each image is captured either on a clean white background or against a mix of realistic surroundings — desks, walls, and other everyday surfaces — so models adapt more reliably to production-grade conditions.

Coverage spans 50+ countries (including Belgium, Germany, Luxembourg, Austria, Denmark, and more). Submit a request via [the website](https://unidata.pro/datasets/synthetic-passports/?utm_source=huggingface-synthetic&utm_medium=referral&utm_campaign=synthetic-netherlands-passports) to learn more.

Every image is paired with detailed structured metadata describing the document's personal fields — passport number, full name, signature, date of birth, sex, place of birth, issuing authority, nationality, document type, and the machine-readable zone (MRZ) — plus technical attributes such as resolution and category.


Dataset general info

CharacteristicData
DescriptionSynthetic passport images with detailed metadata for ML model training in PII extraction
Data typesImage + structured metadata
TasksOCR, Computer Vision
Total number of files1000+ (scalable on request)
LabelingPassport 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
GenderMale, Female
BackgroundsWhite and varied (desk, wall, and other surfaces)
Countries50+ available (Belgium, Germany, Luxembourg, Austria, Denmark, and more — on request)
Image formatJPG
Data generationAI-generated
Source of imagesAI-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:

FieldExample
Passport numberNX1234567
Passport number (split)N X 1 2 3 4 5 6 7
Surname and given nameDE JONG PIETER
SignaturePieter de Jong
Date of birth18 JUN 1985
Date of issue12 SEP 2022
Date of expiry12 SEP 2032
SexM
Place of birthAMSTERDAM
Issuing authorityBURGEMEESTER VAN AMSTERDAM
NationalityNETHERLANDS
Nationality codeNLD
Document typeP
Machine-readable zone (MRZ)P<NLDDE<JONG<<PIETER<<<<<<<<<<<<<<<<<<<<<<<<<NX12345677NLD8506184M3209128<<<<<<<<<<<<<<00

Use cases - Netherlands

Training document verification systems

Banks, fintech operators, and border-control teams can use this dataset to train models that authenticate identity documents across a wide range of real-world conditions. Structured metadata supports accurate field extraction and validation, while the diversity of backgrounds strengthens robustness once models reach production.

Building fraud detection pipelines

Compliance and security teams can apply these synthetic samples to compile high-quality training corpora without using real travel documents. Complete passport field coverage and full 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 — the dataset is scalable, and additional samples can be generated based on your requirements within one week.

Can I request country-specific data?

Yes — support for 50+ countries is available. Please submit a request to get detailed coverage and samples.

Can I request a sample before purchasing?

Yes — 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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