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Full YOLOv4 Pro Course Bundle
on-demand course

Full YOLOv4 Pro Course Bundle

with Augmented AI, Ritesh Kanjee
October 2021
Advanced
4h 43m
English
Packt Publishing

Overview

In this 4 hr course, students will learn how to master YOLOv4 for AI-driven object detection. From creating datasets and training custom detectors to building real-world apps like mask detection and vehicle tracking, attendees will gain comprehensive skills to implement YOLOv4 techniques effectively both in code and GUIs.

What I will be able to do after this course

  • Create, train, and deploy custom YOLOv4 object detection models using Python.
  • Develop real-world computer vision applications, including a mask detection system.
  • Implement YOLOv4 with real-time video processing for use cases like social distancing monitoring.
  • Enhance datasets using advanced augmentation methods for improved training outcomes.
  • Integrate YOLOv4 capabilities in user interfaces designed with PyQT.

Course Instructor(s)

Augmented AI, developers of this course, include industry experts on computer vision and AI with years of hands-on teaching and real-world problem-solving experience. They have dedicated their skills to imparting high-quality education to beginners and professionals alike while ensuring practical implementation of theories.

Who is it for?

This course is designed for software developers, machine learning enthusiasts, and researchers with a fundamental knowledge of programming, especially Python, and a basic understanding of AI. It addresses the needs of individuals aiming to enhance their skills in computer vision applications, professional development, or academic AI research.

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Publisher Resources

ISBN: 9781803236780