Train YOLO for Object Detection with Custom Data

🎓 Course Title: Train YOLO for Object Detection with Custom Datasets

🚀 Headline: Build your own detector by labelling, training, and testing on images, video, and in real-time with a camera: mastering YOLO v3-v4 algorithms!

Course Description:

Dive into the world of computer vision and object detection with our comprehensive online course! This hands-on course is designed to take you from the basics of using pre-trained YOLO v3-v4 models to the advanced stages of labelling your own datasets, converting them, training custom detectors, and even creating a graphical user interface for detection.

🔍 Here's what you'll cover:

1. Implement Pre-Trained YOLO v3-v4:

   • Detect objects on images 🖼️
   • Analyze videos ➿
   • Perform real-time detection with a camera using OpenCV and the deep learning library 📸
   • Utilize provided code templates for your future projects.

2. Labeling Custom Datasets:

   • Learn to label individual images within datasets.
   • Create custom datasets from scratch by extracting and curating images.

3. Converting Datasets to YOLO Format:

   • Transform existing datasets into the YOLO format.
   • Modify provided code templates for other datasets in your future endeavors.

4. Training and Testing YOLO v3-v4 Detectors:

   • Train YOLO detectors using the Darknet framework.
   • Evaluate and test your models to ensure they meet your detection requirements.

5. Build a GUI for Object Detection with PyQt:

   • Develop a user-friendly interface for object detection.
   • Showcase your project as a tangible result to supervisors or for presentations.

Content Organization:

Each section of the course is packed with resources and activities designed to enhance your learning experience:

• Video Lectures: Clear and informative, providing a step-by-step guide on each topic.
• Coding Activities: Practical exercises that reinforce what you've learned in the lectures.
• Code Templates: Ready-to-use starting points for your own projects.
• Quizzes: Interactive tests to check your understanding and knowledge retention.
• Downloadable Instructions: Comprehensive guides for every step of the process.
• Discussion Opportunities: Engage with peers and instructors through forums and Q&A sessions.

Learning Objectives:

Our video lectures are crafted with the SMART criteria in mind:

• Specific: Each lecture targets clear, well-defined objectives.
• Measurable: You'll be able to track your progress and measure your achievements.
• Attainable: The steps to achieve the objectives are laid out in a logical and achievable manner.
• Result-Oriented: By the end of each lecture, you will have tangible results to show for your efforts.
• Time-Oriented: You'll be able to accomplish these objectives within the visible time frame provided by the course structure.

Join us on this exciting journey into the realm of object detection and put YOLO v3-v4 to work in your own projects! 🌟