
LAION-5B is an open source dataset of over 5 billion CLIP-filtered image-text pairs. It is used to train Stable Diffusion.
LAION-5B contains over 5 billion image-text pairs. I have downloaded a small subset of their 'aesthetically pleasing' subset. To produce an aesthetic score, LAION creators used a model they trained on the Simulcra Aesthetic Captions dataset, a dataset of AI generated images & their prompts that users rated on a scale of 1-10. The images that I downloaded also have similarity scores (from the CLIP filtering) and "unsafe" scores. The Unsafe Score comes from yet another AI model trained to detect "NSFW" images. As you can imagine, there is a lot of problems with automatic detection of NSWF images including the use of nonconsensual imagery in training data and false positives.
Let's take a look at the aesthetic subset that I've downloaded in order of the NSFW/unsafe score...
Spend some time exploring this subset. For reference, I have downloaded 1454 images which is only about 0.00002908% of the full dataset.