Object Detection for Dummies Part 1: Gradient Vector, HOG, and SS
Read OriginalThis article is the first part of a series titled 'Object Detection for Dummies.' It explains core computer vision concepts like image gradient vectors, Histogram of Oriented Gradients (HOG), and image segmentation, laying the mathematical groundwork for understanding object detection algorithms before delving into deep neural networks in later parts.
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
2
Using Browser Apis In React Practical Guide
Jivbcoop
•
2 votes
3
Better react-hook-form Smart Form Components
Maarten Hus
•
2 votes
4
Top picks — 2026 January
Paweł Grzybek
•
1 votes
5
In Praise of –dry-run
Henrik Warne
•
1 votes
6
Deep Learning is Powerful Because It Makes Hard Things Easy - Reflections 10 Years On
Ferenc Huszár
•
1 votes
7
Vibe coding your first iOS app
William Denniss
•
1 votes
8
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook
•
1 votes
9
Quoting Thariq Shihipar
Simon Willison
•
1 votes
10
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft
•
1 votes