High-Quality Image-Text Dataset MONET Released
Key point
MONET, a dataset of over 100 million high-quality image-text pairs refined from 2.9 billion images, has been released.
Details
MONET is an open-source image-text dataset provided under the Apache 2.0 license. Starting from a total of 2.9 billion images, a refinement process was applied to ultimately build 104.9 million high-quality samples.
Along with this project, the following tools are also provided:
- A UMAP tool for visualizing data distribution
- A Retrieval tool for text and image search
- A codebase for training T2I (Text-to-Image) models based on MONET
The dataset is available via Hugging Face, and a paper detailing the data construction process has also been published.
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