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Collect and Label Data, Train YOLOv8 Model, Implement OCR to Recognize Text, Integrate with a Streamlit Web App
Updated on Sep, 2026
Programming, Data Science, Computer Vision
Duration - 2.5 hours
Training 5 or more people ?
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In this comprehensive course, you'll learn everything you need to know to master YOLOv8. With detailed explanations, practical examples, and step-by-step tutorials, this course will help you build your understanding of YOLOv8 from the ground up.
Discover how to train the YOLOv8 model to accurately detect and recognise 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.
Here's what you'll get with this course:
3 hours of HD video tutorials
Source code used in the course
Hands-on coding experience and real-world implementation.
Step-by-step guide with clear explanations and code examples.
Gain practical skills that can be applied to real-world projects.
Lifetime access to the course
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. Recognising Number Plates Using OCR
9. Create a Web Application with Streamlit
Check out the detailed breakdown of what’s inside the course
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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