LAION is a non-profit research network building open datasets, models, and tools for reproducible machine-learning research and public education.
What we build
Datasets, models, and tools released in the open, so anyone can inspect, reproduce, and build on them.
A 10-million-hour open video dataset for research on video-language, audio-language, and image–text models.
The updated LAION-5B: 5.5 billion text–image-link pairs with additional safety fixes.
Large-scale open implementations and models for contrastive language–image training.
Open language-model baselines and intermediate checkpoints for comparing training datasets.
An open conversational AI assistant designed to make education more accessible.
Why open
LAION exists to broaden access to large-scale machine-learning research. We make reusable resources public so more people can inspect, improve, and learn from them.
Large-scale multimodal datasets, each released with documentation of its access conditions and intended uses.
Weights, training code, and evaluation tools published alongside results, so experiments can be reproduced and compared.
Researchers, engineers, and contributors from around the world, collaborating in the open.
From the network
Today we are releasing LAION-BVD (Big Video Dataset), a large-scale open video dataset designed for multimodal machine learning research. LAION-BVD contains: 1.3 billion platform-specific video URLs c…
