Datasets:
male list | female list |
|---|---|
[
{
"pass_num": "Y14803104",
"data_birth_dob": "11 01 79",
"surname": "NEUMANN",
"given_name": "HORST",
"signature": "Horst Neumann",
"date_of_birth": "11 JAN 1979",
"date_of_issue": "23 FEB 2013",
"date_of_expiry": "23 FEB 2023",
"sex": "M",
"place_of_birth": "BOCHUM",
"au... | [
{
"pass_num": "C05097881",
"data_birth_dob": "18 02 80",
"surname": "BRAUN",
"given_name": "ANGELIKA",
"signature": "Angelika Braun",
"date_of_birth": "18 FEB 1980",
"date_of_issue": "14 JUL 2016",
"date_of_expiry": "14 JUL 2026",
"sex": "F",
"place_of_birth": "KARLSRUHE",
... |
Introduction
The Synthetic Printed German Passports Dataset contains 5,000 AI-generated passport images built for training OCR and computer vision models on printed identification documents. Each image is captured across 3 angles, 4 lighting conditions, 4 backgrounds, and 2 distances, with structured metadata covering passport ID, gender, age group, and more. Since all images are synthetically generated, the dataset contains no real personal data or biometric records — making it a privacy-compliant resource ready for identity verification and fraud detection tasks.- Get the data
Dataset general info
| Parameter | Value |
|---|---|
| Description | Printed synthetic passport images for training ML models in PII extraction |
| Data types | Image |
| Tasks | OCR, Computer Vision |
| Total number of files | 5,000 |
| Files per set | 96 (3 angles × 4 lighting × 4 backgrounds × 2 distances) |
| Angles | 0°, 25°, 45° |
| Lighting | Natural-daylight, Office-LED, Warm-indoor, Dim-light |
| Backgrounds | Neutral wall, Textured desk, Outdoor pavement, Docs-on-docs |
| Distance | Close (80–90% frame), Medium (50–60% frame) |
| Labeling | Passport ID, Sample ID, Class, Gender, Age Group, Angle, Distance, Category, Resolution, Camera, Light Condition, Background, Timestamp |
| Gender | Male, Female |
| Image format | JPG |
| Data generation | AI-generated |
The dataset consists of 5,000 synthetic passport images organized into sets of 96 samples, each covering every combination of angle, lighting, background, and distance.
Use cases
Automated border control screening Border security teams and immigration technology vendors can use this dataset to train models that detect and verify printed identity documents under varied real-world conditions. The range of passport photos with multiple angles and lighting scenarios helps verification systems stay reliable when document scans deviate from ideal capture conditions.
KYC and digital identity verification Banks and fintech businesses can use these synthetic datasets to train learning models for Know Your Customer processes without handling real personal data. The structured metadata and realistic document images enable accurate extraction of passport numbers and personal information fields, supporting compliant onboarding workflows.
FAQ
What does the dataset contain? It contains 5,000 AI-generated images of printed German passports, each labeled with metadata including gender, age group, lighting condition, background, angle, distance, and timestamp.
Is there a sample available before purchase? Yes — free samples are available for download so you can assess image quality and metadata structure before committing to the full dataset.
Does the dataset include real personal data? No. All images are artificially generated and contain no biometric data or personal information tied to real individuals.
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