Wrote a little blog post about some subject I am teaching these days. The blog post is about how you can use so called 'image embeddings' to find and cluster similar images.
Use image embeddings for finding similar images and clustering images
By using Deep Learning for images we can create so called ‘image embeddings’. An image embedding, is an image converted to a set of numbers (called a vector) using an AI model. In this blog post, we’ll explore how to use image embeddings for similarity search and clustering, with a focus on OpenAI CLIP, cosine similarity, and KMeans clustering.