Synthetic Philippine Passport Images for OCR Model Training

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

Use Cases

• Train OCR models to read text fields on passports based on the synthetic images.
• Benchmark computer vision models for document layout detection based on the passport image structure.
• Develop synthetic data pipelines for identity document verification systems based on the AI-generated content.
• Test model robustness against variations in document appearance based on the synthetic generation method.

Strengths

• Contains more than 1,000 synthetic passport images, providing a substantial volume for model training.
• All data is explicitly synthetic, mitigating privacy and ethical concerns associated with real personal data.

Limitations

• Description metadata is limited; actual data quality, image resolution, and annotation details require manual inspection after download.
• Column-level documentation is absent; field semantics and any associated metadata must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale training tasks.

Provenance

Source

ud-synthetic

Collection Method

AI-generated synthetic data.

Freshness

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

Geography

Philippines