Master Yolo & Tiny Yolo: Real-Time Object Detection In C#

Master Object Detection with YOLO in C#: Build Real-Time AI Applications using YOLO, Tiny YOLO and NMS

What you'll learn

Master YOLO and Tiny YOLO integration in C# for real-time object detection.

Implement Non-Maximum Suppression (NMS) to enhance detection accuracy and efficiency.

Build security monitoring and AI-powered image recognition apps using YOLO.

Optimize object detection workflows for speed and accuracy with Tiny YOLO.

Requirements

Basic Programming Knowledge: Familiarity with C# programming is recommended, but beginners can follow along with some effort. Visual Studio: Students should have Visual Studio installed and know basic project setup. Windows OS: The course uses Windows-based tools and frameworks for development. Interest in AI and Object Detection: A passion for learning about YOLO, Tiny YOLO, and real-time AI applications will be beneficial.

Description

Welcome to "Mastering Object Detection with YOLO: Real-Time Object Detection in C# a hands-on, comprehensive course designed to empower you with the skills and knowledge to leverage YOLO (You Only Look Once) for real-time object detection. This course is ideal for developers, data scientists, and AI enthusiasts who want to delve into the exciting world of object detection.Starting with the basics, you’ll grasp the importance of object detection and why YOLO stands out among other methods. We’ll guide you through designing an efficient object detection project, covering the essential tools, libraries, and setup needed for a smooth development experience.You will learn how to load the YOLO model into your application, understanding its structure and components, such as Darknet, weights, and configuration files. The course will also walk you through implementing video capture functionalities, enabling you to handle video streaming and frame processing effectively.In the core implementation phase, you’ll master capturing and processing video frames, followed by running object detection using the YOLO model. You'll learn how to visualize bounding boxes around detected objects, making your application both functional and visually intuitive.Optimization techniques such as Non-Maximum Suppression (NMS) will be covered to enhance detection accuracy by eliminating redundant bounding boxes. For those seeking faster performance, the course introduces Tiny YOLO, providing insights into integrating it for real-time detection without compromising speed and accuracy.By the end of this course, you will have developed a fully functional object detection application, well-optimized for performance. Enroll now to transform your AI capabilities and achieve mastery in object detection with YOLO!

Overview

Section 1: Introduction to the Course

Lecture 1 Course Introduction

Section 2: Setting Up and Designing the Project

Lecture 2 Designing the Object Detection Project

Section 3: Loading YOLO Model and Video Capture Setup

Lecture 3 Loading the YOLO Model

Lecture 4 Implementing Start/Stop Buttons for Video Capture

Section 4: Core Object Detection Implementation

Lecture 5 Processing Frames for Object Detection

Lecture 6 Object Detection with YOLO

Section 5: Optimizing Object Detection Performance

Lecture 7 Using Non-Maximum Suppression (NMS) for One Box per Detection

Lecture 8 Speed and Accuracy with Tiny YOLO

Section 6: Application Demo with Tiny YOLO and source code

Lecture 9 Objection detection on live camera feed with TinyYOLO

Lecture 10 full source code of object detection with Yolo and tinyYOLO in c#

This course is designed for: Aspiring AI Developers: Anyone interested in learning how to build real-time AI applications using YOLO object detection. C# Developers: Programmers looking to expand their skills into AI and computer vision using familiar tools and languages. Students and Enthusiasts: Individuals passionate about AI, object detection, and building security or monitoring applications. Professionals: Developers seeking to incorporate AI-powered object detection into existing or new software solutions for enhanced functionality. Beginners with Curiosity: Anyone eager to explore AI and object detection with step-by-step guidance, even with minimal prior experience. Whether you’re a beginner curious about AI or a professional aiming to enhance your skills, this course provides practical insights and hands-on experience for all levels.