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Willoughby nine.

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Brockhaus is here.

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Eulabee nine represents the latest advancement in computer vision object detection models.

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The course begins by covering the fundamentals of computer vision, including non-maximum suppression

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and mean average precision.

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Moving forward, we delve deeply into Yolo v9, exploring its architecture and highlighting how it surpasses

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other object detection models.

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Furthermore, we'll explore object detection on images and videos using YOLO v9, and we will also evaluate

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the YOLO v9 model's performance across with various parameters as well.

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By Dunmore.

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We will also train the Yolo v9 model when a custom data set for personal protective equipment detection.

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I will be providing a step by step guide so that you can also find you on the yellow V9 model on any

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custom data set as well.

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Additionally, to track each of the detected object in an image, video or in a live cam feed, we will

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learn the concept of object tracking, where we will integrate Yolo v9 with state of the art object

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tracking algorithms, which include Deepsort and solid object tracking algorithms, and we will track

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each of the detected object by assigning each of the object a unique ID.

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Here we will also be creating an application for person counting and vehicles counting, entering and

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leaving a specific area.

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And to create both of these applications, we will be using Yolov5 and Deepsort object tracking algorithms.

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Going ahead.

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We will also review your award, which is a zero shot object detection model, which means we do not

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need to train our object detection model on any data set or to detect different objects.

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And here I will also be providing you a step by step guide to perform object detection using your word.

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Finally, we will also learn how we can create different web applications by integrating Yolov5 with

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class.

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And we will be creating exciting web apps where we will be doing object detection on images, videos

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using Yolov5 and Flask.

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So here is what you will learn.

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In this course.

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We will be learning Non-maximum Suppression in Average Precision YOLO v9 architecture Object Detection

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using YOLO night.

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You will be testing YOLO model performance for images videos, and we will also see how we can train

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your V9 model or any custom data set.

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Thus, we will also be creating some exciting applications which include Personal Protective Equipment

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detection.

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We will also integrating object detection.

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YOLO v9 object detection model with Deepsort object tracking algorithm.

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And we will also integrate YOLO vinyl object detection model with solid object tracking algorithm as

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well.

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And we will be creating some exciting application from the air which include persons counting vehicles,

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counting, counting persons, vehicles entering and leaving from a specific area.

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Then I will also introduce you to the concept of YOLO world and we will see how we can do object detection

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using YOLO world.

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And we will also be integrating YOLO v9 and last, and we will be creating some exciting web apps.

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So what are you waiting for?

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Enroll now in the course using the link provided in the description.

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Thank you.