YOLOv8 Object Detection
Updated on Dec, 2023
Programming, Data Science,
Formats : PDF (Read Only)
In this comprehensive guide, you'll learn everything you need to know to master YOLOv8. With detailed explanations, practical examples, and step-by-step tutorials, this book will help you build your understanding of YOLOv8 from the ground up.
Discover how to train the YOLOv8 model to accurately detect and recognize license plates in images and real-time videos.
From data collection to deployment, master every step of building an end-to-end ANPR system with YOLOv8.
Who Is This Book For?
This book is aimed at individuals who already have some basic knowledge of Python programming, OpenCV , and computer vision .
It is ideal for Python programmers who are looking for a practical, hands-on guide to building more advanced object detection and recognition projects.
It is also suitable for anyone familiar with OpenCV and computer vision who wants to take their skills to the next level and learn how to apply object detection to solve real-world problems.
Whether you're a hobbyist, a student, or a professional developer, this book will provide you with the knowledge and tools you need to get started with building your own object detection and recognition systems.
1. What is Object Detection
2. Advancements in Object Detection
3. YOLO: The Object Detection Framework
4. Environment Setup
6. Training the YOLO Model
7. Detecting Number Plates with the Trained Model
8. Recognizing Number Plates Using OCR
9. Create a Web Application with Streamlit
Here's what you'll get with this book:
Hi! My name is Yacine Rouizi. I have a Master's level in physics of materials and components and I am a passionate self-taught programmer. I've been programming since 2019 and I am the author of a blog where I teach about programming, machine learning, and computer vision.
My goal is to make learning accessible to everyone and simplify complex topics, such as computer vision and deep learning, by following a hands-on approach.
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