Dataset Viewer
Auto-converted to Parquet Duplicate
male
list
female
list
[ { "pass_num": "617280306", "pass_num_print": "617280306", "pass_num_split": "6 1 7 2 8 0 3 0 6", "surname": "NIELSEN", "given_name": "VICTOR", "signature": "Victor Nielsen", "date_of_birth": "24 APR 1975", "date_of_issue": "19 AUG 2021", "date_of_delivery": "19 AUG 2021", "da...
[ { "pass_num": "367651487", "pass_num_print": "367651487", "pass_num_split": "3 6 7 6 5 1 4 8 7", "surname": "JENSEN", "given_name": "ELLA", "signature": "Ella Jensen", "date_of_birth": "11 NOV 1996", "date_of_issue": "16 OCT 2025", "date_of_delivery": "16 OCT 2025", "date_of_...

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 - Denmark

The Synthetic Denmark Passports Dataset compiles 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 contains no real personal data or biometric records β€” a privacy-compliant foundation for building identity verification, KYC, and fraud-detection pipelines. - Get the data

The dataset can be scaled on demand β€” additional images and metadata can be produced to your specifications, typically within one week.

Each image is taken against either a plain white background or a mix of realistic settings β€” desks, walls, and other everyday surfaces β€” helping models generalise more reliably to production-grade scenarios.

Coverage spans 50+ countries (including Sweden, Finland, Netherlands, Germany, Belgium, and more). Submit a request via the website to learn more.

Every image comes with detailed structured metadata covering 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€” along with 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 (Sweden, Finland, Netherlands, Germany, Belgium, 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 200456789
Passport number (split) 2 0 0 4 5 6 7 8 9
Surname and given name NIELSEN ANDERS
Signature Anders Nielsen
Date of birth 04 MAY 1982
Date of issue 08 JUN 2022
Date of expiry 08 JUN 2032
Sex M
Place of birth KOBENHAVN
Issuing authority POLITI
Nationality DENMARK
Nationality code DNK
Document type P
Machine-readable zone (MRZ) P<DNKNIELSEN<<ANDERS<<<<<<<<<<<<<<<<<<<<<<<<<2004567893DNK8205044M3206086<<<<<<<<<<<<<<00

Use cases - Denmark

Training document verification systems

Banks, fintech operators, and border-control units can draw on this dataset to train models that authenticate identity documents across a wide range of real-world conditions. Structured metadata enables accurate field extraction and validation, while a variety of backgrounds reinforces robustness once models are deployed.

Building fraud detection pipelines

Compliance and security teams can rely on these synthetic samples to compile 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.

🌐 UniData - your trusted data partner. Unique, accurate, thoroughly collected and annotated data designed to fuel your AI/ML success.

Downloads last month
18