Series Path · 5 parts
Object Detection & Segmentation
Core detection and segmentation models — YOLO's real-time architecture from a beginner's guide through math to code, FCOS's anchor-free alternative, and Meta's Segment Anything.
Curriculum — 5 parts
- 01
YOLO (You Only Look Once): A Comprehensive Beginner’s Guide
In the rapidly evolving world of computer vision and artificial intelligence, few innovations have been as transformative as YOLO (You Only Look Once). This…
8 min read - 02
The Mathematics Behind YOLO: A Deep Dive into Object Detection
You Only Look Once (YOLO) revolutionized object detection by treating it as a single regression problem, directly predicting bounding boxes and class…
6 min read - 03
Complete YOLO Object Detection Code Guide
YOLO (You Only Look Once) is a state-of-the-art real-time object detection algorithm that revolutionized computer vision by treating object detection as a…
9 min read - 04
FCOS: Fully Convolutional One-Stage Object Detection
A Verbose Study Guide to arXiv:1904.01355
36 min read - 05
Segment Anything (SAM)
A researcher-oriented walkthrough of arXiv:2304.02643 (Kirillov et al., Meta AI / FAIR, 2023)
18 min read