Learn Computer Vision with YOLO

Course Overview

This course focuses on learning object detection techniques using the You Only Look Once (YOLO) algorithm.
Object detection is one of the most practical and frequently used fields in AI, enabling you to identify objects in images and videos.
Starting from the fundamentals of YOLO, you will engage in various hands-on exercises to implement object detection in real-world scenarios.
The course combines theory and practice so that learners can apply object detection techniques in practical applications.

Understand the Core Principles of the YOLO Algorithm: Learn how YOLO works and grasp its key concepts
Train and Implement Object Detection Models: Acquire the skills to train YOLO models and use them for object detection
Dataset Preparation and Preprocessing: Understand how to prepare and preprocess datasets for object detection
Hands-On Practice in Object Detection: Use YOLO to perform detection, segmentation, classification, and pose estimation in real-world settings

Open to anyone (no prerequisites required)
Although Python programming is part of the course, it includes instruction on Python syntax, making it accessible even to beginners.

Computer vision is one of the most essential and widely applied AI fields in the industry.
It involves extracting meaningful information from images and videos.
Applications include classification, detection, segmentation, tracking, pose estimation, and more.

Upon completing this course, you will be able to perform tasks such as:

yolo

detect

segment

classify

pose

obb

This course can be offered in various durations—8 hr, 12 hr, 16 hr, 20 hr, or 24 hr—depending on the desired depth.
Longer durations allow students to explore more extensive content.