Multimodality · 2022

LAION-5B: An Open Large-Scale Dataset for Training Next Generation Image-Text Models

Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ludwig Schmidt

Released an openly available dataset of 5.85 billion image-text pairs, giving the research community the web-scale multimodal data that had previously been locked inside a few large labs and enabling open text-to-image and vision-language models.

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Plain-language summary

LAION-5B is a filtered, CLIP-scored collection of billions of image-caption pairs scraped from the web and released openly by the LAION non-profit. It supplied the training data behind Stable Diffusion and many open CLIP and vision-language models, shifting a major bottleneck -- data -- from proprietary to public. It also foregrounded the governance, consent, and safety questions that come with web-scale datasets.

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Provenance

Record ID
P-369
Record created
2026-07-13
Last reviewed
2026-07-14
Record version
2

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