Synthetic Qatari Passports: Over 1,000 AI-Generated Images for OCR Training

The Synthetic Qatar Passports Dataset assembles more than 1,000 AI-generated passport images crafted for training OCR and computer vision models on identity documents. All data is synthetically generated and does not correspond to real individuals. The dataset was created by ud-synthetic and was last updated on 2026-05-13.

Use Cases

• Train OCR models to read passport text fields based on synthetically generated layouts.
• Develop computer vision models for document detection and classification based on synthetic passport images.
• Benchmark identity document processing pipelines using a dataset of over 1,000 synthetic samples.
• Test model robustness on identity documents without privacy concerns, as all data is fictional.

Strengths

• Contains over 1,000 AI-generated samples, providing a substantial volume for model training.
• All data is fully synthetic, eliminating privacy and legal concerns associated with real personal information.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown beyond the 'more than 1,000' mention, which may limit suitability assessment.
• Last updated 2026-05-13; freshness should be verified.

Provenance

Source

ud-synthetic

Collection Method

AI-generated synthetic data.

Freshness

Last updated 2026-05-13 08:16:39.

Geography

Qatar (document type)