Synthetic Printed USA Passports Dataset
Synthetically generated passport images for extracting PII and enhancing fraud prevention systems
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-
- Images
- 9 600
- PII
- Data generation
- Security
- Anti-spoofing
- Computer Vision
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- Images
- 9 600
Dataset Info
Characteristic | Data |
Description | Printed synthetic passport images for training ML models in PII extraction |
Data types | Image |
Tasks | OCR, Computer Vision |
Total number of files | 9 600 |
Number of files in a set | 96 (Angles - 3, Lighting - 4, Backgrounds - 4, Distances - 2) |
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 %) |
Labeling | Metadata (Passport ID, Sample ID, Class, Country, Gender, Age Group, Angle, Distance, Category, Resolution, Camera, Light Condition, Background, Timestamp) |
Gender | Male, Female |
attacks monthly
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Statistics
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- Distribution by gender
Technical
Characteristics
Characteristic | Data |
Image Extensions | HEIC |
Data Type | generated |
Industries
Finance
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Banking:
Using biometric authentication for secure access to bank accounts and transactions.
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E-commerce:
Using facial recognition technologies to prevent fraud in online purchases and authenticate users.
Security
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Document Verification Algorithms:
Techniques that assess the authenticity of synthetic passport images, ensuring secure access to services and facilities.
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Identity Verification:
Using synthetic passport images to train AI models for verifying customer identities, enhancing security and reducing fraud.
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