Datasets:
pass_num;surname;surname_gr;given_name;given_name_gr;signature;date_of_birth;date_of_issue;date_of_expiry;sex;place_of_birth;place_of_birth_gr;authority;authority_gr;authority_code;height_cm;personal_number;nationality;nationality_gr;nationality_code;document_type;mrz_line1;mrz_line2;mrz;gender stringlengths 24 339 |
|---|
YY4042404;PAPADOPOULOS;ΠΑΠΑΔΟΠΟΥΛΟΣ;PANAGIOTIS;ΠΑΝΑΓΙΩΤΗΣ;Panagiotis Papadopoulos;21.12.1996;06.05.2024;06.05.2034;M;HERAKLION;ΗΡΑΚΛΕΙΟ;N.P.C.;A.E.A./Δ.Δ.;NPC 084784;176;634582320;HELLENIC;ΕΛΛΗΝΙΚΗ;GRC;P;P<GRCPAPADOPOULOS<<PANAGIOTIS<<<<<<<<<<<<<<<;YY40424040GRC9612213M3405064<<<<<<<<<<<<<<02;"P<GRCPAPADOPOULOS<<PANAGI... |
YY40424040GRC9612213M3405064<<<<<<<<<<<<<<02";male |
GP3281677;NIKOLAIDIS;ΝΙΚΟΛΑΪΔΗΣ;ATHANASIOS;ΑΘΑΝΑΣΙΟΣ;Athanasios Nikolaidis;07.02.1996;15.07.2024;15.07.2034;M;LARISSA;ΛΑΡΙΣΑ;N.P.C.;A.E.A./Δ.Δ.;NPC 027402;169;1468550353;HELLENIC;ΕΛΛΗΝΙΚΗ;GRC;P;P<GRCNIKOLAIDIS<<ATHANASIOS<<<<<<<<<<<<<<<<<;GP32816779GRC9602072M3407150<<<<<<<<<<<<<<06;"P<GRCNIKOLAIDIS<<ATHANASIOS<<<<<<<<... |
GP32816779GRC9602072M3407150<<<<<<<<<<<<<<06";male |
FJ6782957;PAPADOPOULOS;ΠΑΠΑΔΟΠΟΥΛΟΣ;ANNA;ΑΝΝΑ;Anna Papadopoulos;03.07.1965;01.01.2019;01.01.2029;F;ATHENS;ΑΘΗΝΑ;N.P.C.;A.E.A./Δ.Δ.;NPC 734654;182;7818141401;HELLENIC;ΕΛΛΗΝΙΚΗ;GRC;P;P<GRCPAPADOPOULOS<<ANNA<<<<<<<<<<<<<<<<<<<<<;FJ67829578GRC6507039F2901019<<<<<<<<<<<<<<04;"P<GRCPAPADOPOULOS<<ANNA<<<<<<<<<<<<<<<<<<<<< |
FJ67829578GRC6507039F2901019<<<<<<<<<<<<<<04";female |
KO7475486;DIMITRIOU;ΔΗΜΗΤΡΙΟΥ;DIMITRA;ΔΗΜΗΤΡΑ;Dimitra Dimitriou;28.09.1960;02.02.2024;02.02.2034;F;PATRAS;ΠΑΤΡΑ;N.P.C.;A.E.A./Δ.Δ.;NPC 570926;164;4889155262;HELLENIC;ΕΛΛΗΝΙΚΗ;GRC;P;P<GRCDIMITRIOU<<DIMITRA<<<<<<<<<<<<<<<<<<<<<;KO74754861GRC6009289F3402029<<<<<<<<<<<<<<06;"P<GRCDIMITRIOU<<DIMITRA<<<<<<<<<<<<<<<<<<<<< |
KO74754861GRC6009289F3402029<<<<<<<<<<<<<<06";female |
XB7122238;IOANNIDIS;ΙΩΑΝΝΙΔΗΣ;SOFIA;ΣΟΦΙΑ;Sofia Ioannidis;26.04.1971;01.03.2024;01.03.2034;F;ATHENS;ΑΘΗΝΑ;N.P.C.;A.E.A./Δ.Δ.;NPC 819470;159;7038779498;HELLENIC;ΕΛΛΗΝΙΚΗ;GRC;P;P<GRCIOANNIDIS<<SOFIA<<<<<<<<<<<<<<<<<<<<<<<;XB71222387GRC7104262F3403015<<<<<<<<<<<<<<02;"P<GRCIOANNIDIS<<SOFIA<<<<<<<<<<<<<<<<<<<<<<< |
XB71222387GRC7104262F3403015<<<<<<<<<<<<<<02";female |
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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
The Synthetic Greece Passports Dataset gathers more than 1,000 AI-generated passport images created to power the training of OCR and computer vision models on identity documents. Since every record is generated synthetically — with no real personal information or biometric content involved — the dataset is a privacy-compliant resource for engineers building identity verification and fraud detection products. - Get the data
The collection is fully extensible: additional images and metadata can be produced according to your specifications, with new batches typically delivered within one week.
The imagery combines clean white backdrops with diverse realistic scenes such as desks, walls, and other everyday surfaces, helping models generalise more reliably to production-style inputs.
Coverage spans 50+ countries (including Cyprus, Bulgaria, Romania, Portugal, Spain, and more). To learn more, please submit a request through the website
to learn more.
Each image is paired with comprehensive structured metadata covering personal document fields — passport number, full name, signature, date of birth, sex, place of birth, issuing authority, nationality, document type, and machine-readable zone (MRZ) — together 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 (Cyprus, Bulgaria, Romania, Portugal, Spain, and more — on request) |
| Image format | JPG |
| Data generation | AI-generated |
| Source of images | AI-generated |
The dataset consists of 1000+ synthetic passport images, each associated with complete identity-like records and structured annotations. Additional data can be generated upon request within one week. The images cover both clean white and diverse background scenarios.
Metadata fields include:
| Field | Example |
|---|---|
| Passport number | YY4042404 |
| Passport number (split) | Y Y 4 0 4 2 4 0 4 |
| Surname and given name | PAPADOPOULOS PANAGIOTIS |
| Signature | Panagiotis Papadopoulos |
| Date of birth | 21.12.1996 |
| Date of issue | 06.05.2024 |
| Date of expiry | 06.05.2034 |
| Sex | M |
| Place of birth | HERAKLION |
| Issuing authority | N.P.C. |
| Nationality | HELLENIC |
| Nationality code | GRC |
| Document type | P |
| Machine-readable zone (MRZ) | P<GRCPAPADOPOULOS<<PANAGIOTIS<<<<<<<<<<<<<<< |
Use cases
Training document verification systems
Banks, fintech platforms, and border-control teams can apply this dataset to build models that authenticate identity documents under a wide variety of real-world conditions. The structured metadata enables accurate field-level extraction and verification, while varied background settings strengthen model robustness in production.
Building fraud detection pipelines
Compliance and security groups can use these synthetic samples to build out realistic training corpora without depending on genuine documents. With every passport field — including MRZ strings — fully populated, both legitimate-looking records and anomalous patterns can be modelled to support comprehensive fraud-detection workflows.
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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