YOLOv4 Object Detection Course

How to Implement & Train YOLOv4 for Object Detection
3.85 (78 reviews)
Udemy
platform
English
language
Data Science
category
YOLOv4 Object Detection Course
4 412
students
5.5 hours
content
Dec 2021
last update
$19.99
regular price

Why take this course?

🚀 Course Title: YOLOv4 Object Detection Course

🎓 Course Headline: Master AI Object Detection with YOLOv4 - A Comprehensive Nano-Course for Windows 10!


Introduction: As someone with a master's degree in electronic engineering, I know firsthand the challenges of diving into AI Object Detection. The journey was fraught with unclear GitHub repositories, ambiguous instructions, and a myriad of technical questions. Is my hardware up to snuff? Do I need Linux or Windows for this task? What version of Ubuntu should I use, and which dependencies are crucial for my Python environment? With so many uncertainties, it was like navigating through a labyrinth without a map.


Challenges Faced:

  • What to do to get my code working? 🤔
  • Choosing the right hardware for the task 🖥️
  • Deciding between Windows and Linux, and if Linux, which distribution and kernel version to use 🐧
  • Understanding dataset formats for training 📊
  • Choosing between Python and C++ 🐍 vs. Cpp
  • Identifying the necessary Python dependencies 🔗
  • Selecting the right frameworks: PyTorch or TensorFlow (1.0 or 2.0)? 🤖
  • Typing the correct commands to infer or train a CNN 🤓
  • Determining the size and quality of datasets required 📈
  • Running on GPU, with concerns about compatibility 🚀
  • Training YOLOv4 from scratch 💪
  • Creating cross-platform applications using Yolov4 and PyQt 💻

Solution: Our course addresses these challenges head-on. We've crafted a curriculum that's clear, concise, and tailored for beginners as well as seasoned programmers. It covers everything from setting up your environment to executing YOLOv4 on images and videos, including a deep dive into the Darknet framework.


Course Highlights:

  • Real-World Application: We'll build a COVID-19 social distancing monitoring app to apply what you've learned in a practical, impactful way. 😷
  • Step-by-Step Learning: From understanding the basics of computer vision to implementing YOLOv4 in real-time, we guide you through every step. 🎬
  • Hands-On Practice: You'll get hands-on experience with one of the most powerful object detection models available today. ✈️
  • Real Impact: Address current and pressing problems with AI, like social distancing monitoring. 🌍

Requirements for Success:

  • A basic understanding of Computer Vision concepts 🧠
  • Python programming skills 🐍
  • A mid to high range PC/Laptop to handle the computational tasks 💻
  • Windows 10 operating system to ensure compatibility with our tools and examples 🎫
  • A CUDA-enabled GPU for efficient training of YOLOv4 models (highly recommended) 🚀

Forward-Thinking Future: By completing this course, you'll unlock a plethora of opportunities. Whether it's solving real-world problems, freelancing in AI projects, landing your dream job, or pushing the boundaries of your research, your newfound expertise with YOLOv4 object detection will open doors. 🚪


Conclusion: Embark on this journey to master AI Object Detection with YOLOv4. Imagine where you could be a week from now with these skills in hand. The world is waiting for your innovative solutions and groundbreaking applications. Are you ready to take the leap? 🚀💫

Sign up today, and let's turn your AI aspirations into reality! 🎯

Course Gallery

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3247268
udemy ID
18/06/2020
course created date
02/07/2020
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