Synthetic Mexican Passports for OCR and Computer Vision Training

More than 1,000 AI-generated passport images comprise this fully synthetic dataset. Created by ud-synthetic, it is designed for training OCR and computer vision systems on identity documents. The dataset was last updated on May 13, 2026.

Use Cases

• Train optical character recognition (OCR) models based on synthetic passport text fields.
• Develop computer vision models for identity document detection and classification based on AI-generated images.
• Benchmark synthetic data generation techniques for sensitive personal information.
• Test data anonymization and privacy-preserving ML workflows on document-like data.

Strengths

• Contains over 1,000 AI-generated images, providing a substantial volume of synthetic data.
• All data is fully synthetic, eliminating privacy concerns associated with real personal information.
• Explicitly designed for training OCR and computer vision systems, indicating a focused application.

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 2026-05-13 07:54:29; freshness should be verified.

Geography

Mexico (document type).