YOLOv9 & YOLOv10: Learn Object Detection, Tracking & WebApps
Udemy Coupon Code YOLOv9 & YOLOv10: Learn Object Detection, Tracking & WebApps Course
Object Detection, Object Tracking, WebApps using Flask, Object Detection on Custom Dataset, YOLO-World Object Detection
Created by Muhammad Moin | 10 hours on-demand video course | 24 downloadable resources
What you’ll learn
- Basics of Computer Vision
- Objects Detection using YOLOv9
- Training/ fine-tuning YOLOv9 on a Custom Dataset
- YOLOv10: Real-Time End-to-End Object Detection
- What is YOLOv10? An Architecture Deep Dive
- Object Detection in Images and Videos using YOLOv10
- Training/ fine-tuning the YOLOv10 model on a custom dataset
- Object Detection in the Browser using YOLOv9 and Flask
- 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.
YOLOv9 & YOLOv10: Learn Object Detection, Tracking & WebApps Course
Welcome to the YOLOv9 & YOLOv10 Course, a 2-in-1 course. YOLOv10 and YOLOv9 represent the latest advancements 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 08, we will create web applications by integrating YOLOv9 with Flask.
Section 09, provides an introduction to YOLOv10, which includes what is YOLOv10, how YOLOv10 works, what architecture enhancements are made in YOLOv10, furthermore a performance comparison of YOLOv10 with other YOLO models is also presented in this section.
In Section 10, we demonstrate object detection in images and videos using YOLOv10. Subsequently in Section 11, we train the YOLOv10 model on a custom dataset for Personal Protective Equipment (PPE) detection.
YOLOv9 & YOLOv10: Learn Object Detection, Tracking & WebApps Coupon Code
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Who this course is for:
- 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
