YOLOv9 & YOLOv10: Learn Object Detection, Tracking & WebApps

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.

This comprehensive course covers a range of topics, including:

• Mean Average Precision (mAP).

• Non Maximum Suppression (NMS).

• What is YOLOv9 | Architecture of YOLOv9.

• Object Detection using YOLOv9.

• Testing YOLOv9 Model Performance on Images, Videos and on the Live Webcam Feed.

• Training YOLOv9 on a Custom Dataset.

• Personal Protective Equipment (PPE) Detection  using YOLOv9.

• Object Tracking using YOLOv9 and DeepSORT.

• Object Tracking using YOLOv9 and SORT.

• Person/ Vehicles Counting (Entering and Leaving) using YOLOv9 and DeepSORT algorithm.

• Introduction to YOLO-World.

• Object Detection on Images and Videos using YOLO-World.

• Integrating YOLOv9 with Flask and Creating Web Apps.

• Object Detection in the Browser using YOLOv9 and Flask

• What is YOLOv10? An architecture deep dive

• Object Detection in Images and Videos using YOLOv10

• Training/ fine-tuning the YOLOv10 model on custom dataset for Personal Protective Equipment (PPE) Detection

Rating Distribution

• 1 stars: 3 votes
• 2 stars: 2 votes
• 3 stars: 4 votes
• 4 stars: 5 votes
• 5 stars: 37 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!