In computer vision, bag of visual words (BoVW) is one of the pre-deep learning methods used for building image embeddings. We can use BoVW for content-based image retrieval, object detection, and image classification.
At a high level, comparing images with the bag of visual words approach consists of five steps:
This is a companion discussion topic for the original entry at https://www.pinecone.io/learn/bag-of-visual-words/