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title: README
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About
SynthFairCLIP is a research initiative focused on fair vision–language models.
We study how to reduce bias in CLIP-style models by combining:
- Real data from large-scale datasets such as DataComp/CommonPool.
- Synthetic data generated with state-of-the-art diffusion models.
- Curation and balancing of demographic attributes across professions, activities and contexts.
What we release
- CLIP models trained on hybrid real–synthetic data.
- Large-scale WebDataset shards of synthetic / hybrid image–text data.
- Eval tools and benchmarks for analysing bias and fairness in CLIP-like models.
If you use our resources, please consider citing the SynthFairCLIP project.
Acknowledgement
We acknowledge EuroHPC JU for awarding the project ID EHPC-AI-2024A02-040 access to MareNostrum 5 hosted at BSC-CNS.