LAION offers a range of datasets, including LAION-400M, LAION-5B, and LAION-Aesthetics, as well as models like Clip H/14, to support open machine learning research.
An open dataset containing 400 million English image-text pairs, ideal for training and testing machine learning models.
A massive dataset consisting of 5.85 billion multilingual CLIP-filtered image-text pairs, perfect for large-scale machine learning research.
The largest CLIP (Contrastive Language-Image Pre-training) vision transformer model, designed for state-of-the-art image-text understanding.
A subset of LAION-5B filtered by a model trained to score aesthetically pleasing images, ideal for applications requiring high-quality visual content.
LAION's datasets and models are open-source, allowing researchers to modify and distribute them freely.
Train machine learning models with LAION-400M and LAION-5B datasets.
Use Clip H/14 for image-text understanding and generation tasks.
Filter images with LAION-Aesthetics for high-quality visual content.
Contribute to LAION's open-source community by modifying and distributing datasets and models.
Visit the LAION website to explore available datasets and models.
Download and access LAION's datasets and models for free.
Contribute to LAION's open-source community by sharing your research and modifications.
Stay updated with LAION's latest releases and announcements.