Datasets:
license: cc-by-nc-nd-4.0
task_categories:
- image-to-text
tags:
- PII
- computer vision
- passport
- identity verification
- OCR
size_categories:
- 1K<n<10K
Brazilian passport dataset
The dataset comprises 5,000 high-resolution synthetic photos of Brazilian passports, designed to advance computer vision and identity verification systems. It provides a secure and ethical resource for training robust models for OCR (Optical Character Recognition), document analysis, and spoofing detection, all without exposing real personal data or sensitive personal information.
By utilizing this dataset, researchers and developers can enhance security protocols, improve detection methods for fraudulent documents, and build reliable identity validation systems without the risks associated with data breaches or handling genuine citizen data. - Get the data
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Each high-quality image features realistic passport numbers, names, and other biographical data.
Example of the data
Researchers can utilize this dataset to explore detection technology and recognition algorithms that aim to prevent impostor attacks and improve authentication processes for businesses, online services, and government organizations
Frequently Asked Questions
Why use a synthetic passport dataset instead of real passport images?
Synthetic documents provide realistic training data without exposing genuine personal information or requiring access to sensitive government-issued documents.
How can the metadata improve machine learning experiments?
The metadata enables much more detailed analysis than simple recognition accuracy. Researchers can compare model performance across lighting conditions, viewing angles, capture distances, and demographic groups to understand where failures occur.