# Bag of Visual Words

**URL:** <https://community.pinecone.io/t/bag-of-visual-words/434>\
**Category:** General\
**Created:** [August 3, 2022, 1:01pm UTC](https://community.pinecone.io/t/bag-of-visual-words/434 "2022-08-03T13:01:30Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![discobot](https://sea2.discourse-cdn.com/flex020/user_avatar/community.pinecone.io/discobot/32/2_2.png) [@discobot](https://community.pinecone.io/u/discobot)\
**Post date:** [August 3, 2022, 1:01pm UTC](https://community.pinecone.io/t/bag-of-visual-words/434/1 "2022-08-03T13:01:30Z")

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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/](https://www.pinecone.io/learn/bag-of-visual-words/)