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ud-synthetic/qatari-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 - Qatar The Synthetic Qatar Passports Dataset assembles more than 1,000 AI-generated passport images crafted for training OCR and computer vision models on identity documents. Every entry is fully synthetic, so the… See the full description on the dataset page: https://huggingface.co/datasets/ud-synthetic/qatari-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 - Qatar

The Synthetic Qatar Passports Dataset assembles more than 1,000 AI-generated passport images crafted for training OCR and computer vision models on identity documents. Every entry is fully synthetic, so the collection holds no real personal information or biometric data — a privacy-friendly foundation 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-qatar-passports)

The dataset can be expanded on demand — additional images and metadata can be tailored to your specifications, typically within one week.

Each image is taken on either a plain white background or a variety of realistic settings — desks, walls, and other everyday surfaces — helping models generalise more reliably to production-grade conditions.

Coverage spans 50+ countries (including UAE, Saudi Arabia, Oman, Bahrain, Kuwait, and more). Submit a request via [the website](https://unidata.pro/datasets/synthetic-passports/?utm_source=huggingface-synthetic&utm_medium=referral&utm_campaign=synthetic-qatar-passports) to learn more.

Each image is supplied 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 (UAE, Saudi Arabia, Oman, Bahrain, Kuwait, 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 number12345678
Passport number (split)1 2 3 4 5 6 7 8
Surname and given nameAL THANI MOHAMMED
SignatureMohammed Al Thani
Date of birth10 JUL 1985
Date of issue15 FEB 2023
Date of expiry15 FEB 2033
SexM
Place of birthDOHA
Issuing authorityMINISTRY OF INTERIOR
NationalityQATAR
Nationality codeQAT
Document typeP
Machine-readable zone (MRZ)P<QATALTHANI<<MOHAMMED<<<<<<<<<<<<<<<<<<<<<<123456784QAT8507102M3302147<<<<<<<<<<<<<<00

Use cases - Qatar

Training document verification systems

Banks, fintech operators, and border-control units can rely on this dataset to train models that authenticate identity documents across a broad spectrum of real-world conditions. Structured metadata supports accurate field extraction and validation, while diverse backgrounds reinforce robustness in deployed environments.

Building fraud detection pipelines

Compliance and security teams can use these synthetic samples to put together high-quality training corpora without involving real travel documents. Complete passport field coverage and full MRZ strings make it straightforward to model and stress-test both standard records and edge-case anomalies.


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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