Synthetic Philippine Passport Images for Document Recognition

More than 1,000 AI-generated passport images created by ud-synthetic for training OCR and computer vision models. All records are fully synthetic and do not correspond to real individuals, as noted in the disclaimer. The dataset was last updated on 2026-05-12.

Use Cases

• Train optical character recognition (OCR) models based on synthetic passport text fields.
• Develop computer vision models for identity document detection and alignment based on synthetic passport images.
• Benchmark synthetic data generation techniques for sensitive personal documents based on the described AI-generated content.
• Research privacy-preserving ML methods using the fully synthetic identity data mentioned in the description.

Strengths

• Contains more than 1,000 synthetic images, providing a substantial volume for model training.
• All data is fully synthetic, which addresses privacy concerns associated with real identity documents.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

ud-synthetic on Hugging Face.

Collection Method

AI-generated synthetic data.

Freshness

Last updated 2026-05-12 08:05:58; freshness should be verified.

Geography

Philippines (implied by passport type).