Laion-400m: Open Dataset Of Clip-filtered 400 Million Image-text Pairs

Laion-400m: Open Dataset Of Clip-filtered 400 Million Image-text Pairs

Posted on Dec 25

• Originally published at paperium.net

Meet LAION-400M, a giant public resource made to spark new ideas. It's a collection of about 400 million photos with short captions, cleaned and CLIP-filtered so the picture and text match better. The project also includes image features and a fast search index, so you can quickly find similar images or test new tools. Researchers, artists, students, and hobbyists can use it to explore creative apps, teach models how to connect words and images, or just play with large picture sets. The dataset was built by a community effort, and was released to the public to help speed up research and learning. It give lots of examples for training and experimenting without needing special labels for each photo. Try browsing examples, making art, or testing search ideas — many doors open when big, open data is available. This is not a finished product, it's a starting place for people to build smarter, more creative tools together.

Read article comprehensive review in Paperium.net: LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

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