YOLOv9: Learn Object Detection, Tracking with WebApps

Udemy
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YOLOv9: Learn Object Detection, Tracking with WebApps
YOLOv9 Learn Object Detection Tracking with WebApps

Object Detection, Object Tracking, WebApps using Flask, Object Detection on Custom Dataset, YOLO-World Object Detection

Product Brand: Udemy

Editor's Rating:
4.5

Udemy Coupon Code for YOLOv9: Learn Object Detection, Tracking with WebApps Course. Object Detection, Object Tracking, WebApps using Flask, Object Detection on Custom Dataset, YOLO-World Object Detection

Created by Muhammad Moin | 7.5 hours on-demand video course

YOLOv9 Course Overview

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Online Course: YOLOv9: Learn Object Detection, Tracking with WebApps from Udemy

Description for YOLOv9: Learn Object Detection, Tracking with WebApps Course

YOLOv9 represents the latest advancement in computer vision object detection models. This course begins by covering the fundamentals of computer vision, including Non-Maximum Suppression and Mean Average Precision. Moving forward, we delve deeply into YOLOv9, exploring its architecture and highlighting how it surpasses other object detection models. In Section 04, we demonstrate object detection on images and videos using YOLOv9, evaluating its performance across various parameters.

Subsequently, in Section 05, we train the YOLOv9 model on a custom dataset for Personal Protective Equipment (PPE) detection. Additionally, Section 06 focuses on object tracking, where we integrate YOLOv9 with the DeepSORT & SORT algorithms. Here, we also develop an application for person/vehicle counting (entry and exit) using YOLOv9 and the DeepSORT algorithm.

Section 07 provides a review of YOLO-World and a step by step guide to perform object detection using YOLO-World. Finally, in Section 09, we will create web applications by integrating YOLOv9 with Flask.

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What you’ll learn

This course is an excellent way to learn YOLOv9
  • Basics of Computer Vision
  • Objects Detection using YOLOv9
  • Training YOLOv9 on a Custom Dataset
  • Object Tracking using YOLOv9 and DeepSORT Algorithm
  • Object Tracking using YOLOv9 and SORT Algorithm
  • Objects Detection using YOLO-World
  • Integrating YOLOv9 with Flask and Creating Web Apps
  • Personal Protective Equipment (PPE) detection using YOLOv9
  • Person/Vehicles counting (entry and exit) using YOLOv9 and the DeepSORT algorithm.
  • Object Detection in the Browser using YOLOv9 and Flask
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Who this course is for:

This course is designed for everyone who wants to
  • For Everyone who is interested in Computer Vision
  • For Everyone who wants to learn the latest YOLOv9 version
  • For Everyone who study Computer Vision and want to know how to use YOLO for Object Detection
  • For Everyone who aims to build Deep learning Apps with Computer Vision

Taught by Muhammad Moin

Josh Smith
Josh Smith

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