# HOG Features

> Source: https://sukruyusufkaya.com/en/glossary/hog-features
> Updated: 2026-05-13T20:01:46.417Z
> Type: glossary
> Category: bilgisayarli-goru
**TLDR:** A classical feature extraction approach that represents shape and edge structure through local gradient orientation distributions.

<p>HOG features were one of the strong representation tools of the classical era, especially for human detection and shape-based vision tasks. They summarize local gradient patterns to capture object form more directly. Although CNN-based representations dominate today, HOG is still used in some systems thanks to its low computational cost and interpretability.</p>