Synthetic Iris Image Database with 17,695 Biometrically Unique Images

Fatdove's Iris Database contains 17,695 high-quality synthetic colored iris images generated using diffusion models. The dataset is designed to be biometrically unique from its training data while maintaining realistic iris pigmentation distributions. The repository was last updated on March 24, 2025.

Use Cases

• Training biometric recognition models based on synthetic iris images.
• Evaluating the realism of synthetic data generation techniques for iris patterns.
• Developing data augmentation pipelines for iris recognition systems using the described high-quality images.
• Studying the distribution of iris pigmentation in a controlled, synthetic environment.

Strengths

• Contains 17,695 high-quality synthetic iris images.
• Images are described as biometrically unique from the training data.
• Images are generated using diffusion models, a modern generative AI technique.

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.
• The repository description mentions about 10,000 filtered images, but the exact composition is unclear.

Provenance

Source

fatdove on Hugging Face

Collection Method

Generated using diffusion models based on the paper 'Synthetic Iris Image Generation Using Diffusion Networks'.

Freshness

Last updated 2025-03-24 17:20:32