Collect and Label Data, Train YOLO Model, Implement OCR to Recognize Text, Integrate with a Streamlit Web App
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.
What you’ll learn
- Set up your environment for object detection.
- Learn how to recognize number plates in images and videos using OCR.
- Collect and label a custom dataset for training the YOLOv8 model.
- Integrating the number plate recognition system with a Streamlit web application.
- Train the YOLOv8 model and learn how to use it to detect number plates in images and videos.
Course Content
- Introduction –> 1 lecture • 5min.
- What is Object Detection –> 1 lecture • 2min.
- Advancements in Object Detection –> 1 lecture • 2min.
- YOLO: The Object Detection Framework –> 4 lectures • 7min.
- Environment Setup –> 4 lectures • 15min.
- Data Preparation –> 5 lectures • 45min.
- Training the YOLOv8 Model –> 2 lectures • 10min.
- Detecting Number Plates with the Trained Model –> 2 lectures • 36min.
- Recognizing Number Plates Using OCR –> 2 lectures • 21min.
- Create a Web Application with Streamlit –> 3 lectures • 24min.
- Conclusion –> 1 lecture • 3min.
Requirements
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 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.
What you’ll get:
Here’s what you’ll get with this course:
- 3 hour 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
- Priority support
What is covered in this course:
Just so that you have some idea of what you will learn in this course, these are the topics that we will cover:
- Set Up Your Environment for Object Detection
- Collect the Data for Training the Model
- Train the YOLO Model and Learn How to Use it to Detect Number Plates in Images and Video Streams
- Learn How to Recognize Number Plates in Images and Videos Using OCR
- Integrate the Number Plate Recognition System with a Streamlit Web Application