A new dataset with more that 100M hi-quality, curated images, with captions and meta data! [P]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
Hello everyone.
The new dataset is named MONET, is Apache 2.0 and available on HF:
https://huggingface.co/datasets/jasperai/monet
MONET is open, Apache 2.0-licensed image–text dataset. It was built from 2.9 billion images and refined to 104.9 million high-quality samples.
We are also publishing a paper that explains how the dataset was created if you are curious and 3 compagnions projects
- A umap to visualize the distribution
- A retreival tool to do text or image search
- A codebase to train T2i model based on MONET
Hope this will be usefull!
[link] [comments]
More from r/MachineLearning
-
For the people who got reviews back from neurips, cvpr, eccv, etc and also tested their paper through an agentic reviewer like the stanford one, how different were the reviews? [D]
Aug 14
-
Building text to ASCII diffusion model , need advice and guidance [P]
Aug 14
-
A collision-entropy floor for watermark/retrieval AI-text detection. Looking for a sanity check before I take this further [D]
Aug 14
-
Are supervised and unsupervised learning still relevant today? [D]
Aug 14
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.