Synthetic Identity Documents for Vision Language Model Training

15,110 high-quality synthetic identity documents designed for fine-tuning Vision Language Models. The dataset includes realistic driver's licenses and credit cards with diverse variations in design, layout, and content, created by sugiv. It was last updated on July 20, 2025.

Use Cases

• Fine-tuning Vision Language Models based on synthetic identity documents
• Training models for document question answering based on realistic driver's licenses and credit cards
• Developing OCR capabilities based on diverse variations in document design and layout
• Training models for visual question answering based on identity document images
• Training models for object detection based on synthetic credit cards and driver's licenses

Strengths

• 15,110 synthetic identity documents
• Includes both driver's licenses and credit cards
• Contains diverse variations in design, layout, and content

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

Provenance

Source

sugiv

Freshness

Last updated 2025-07-20 16:43:12