Willoughby nine.
Brockhaus is here.
Eulabee nine represents the latest advancement in computer vision object detection models.
The course begins by covering the fundamentals of computer vision, including non-maximum suppression
and mean average precision.
Moving forward, we delve deeply into Yolo v9, exploring its architecture and highlighting how it surpasses
other object detection models.
Furthermore, we'll explore object detection on images and videos using YOLO v9, and we will also evaluate
the YOLO v9 model's performance across with various parameters as well.
By Dunmore.
We will also train the Yolo v9 model when a custom data set for personal protective equipment detection.
I will be providing a step by step guide so that you can also find you on the yellow V9 model on any
custom data set as well.
Additionally, to track each of the detected object in an image, video or in a live cam feed, we will
learn the concept of object tracking, where we will integrate Yolo v9 with state of the art object
tracking algorithms, which include Deepsort and solid object tracking algorithms, and we will track
each of the detected object by assigning each of the object a unique ID.
Here we will also be creating an application for person counting and vehicles counting, entering and
leaving a specific area.
And to create both of these applications, we will be using Yolov5 and Deepsort object tracking algorithms.
Going ahead.
We will also review your award, which is a zero shot object detection model, which means we do not
need to train our object detection model on any data set or to detect different objects.
And here I will also be providing you a step by step guide to perform object detection using your word.
Finally, we will also learn how we can create different web applications by integrating Yolov5 with
class.
And we will be creating exciting web apps where we will be doing object detection on images, videos
using Yolov5 and Flask.
So here is what you will learn.
In this course.
We will be learning Non-maximum Suppression in Average Precision YOLO v9 architecture Object Detection
using YOLO night.
You will be testing YOLO model performance for images videos, and we will also see how we can train
your V9 model or any custom data set.
Thus, we will also be creating some exciting applications which include Personal Protective Equipment
detection.
We will also integrating object detection.
YOLO v9 object detection model with Deepsort object tracking algorithm.
And we will also integrate YOLO vinyl object detection model with solid object tracking algorithm as
well.
And we will be creating some exciting application from the air which include persons counting vehicles,
counting, counting persons, vehicles entering and leaving from a specific area.
Then I will also introduce you to the concept of YOLO world and we will see how we can do object detection
using YOLO world.
And we will also be integrating YOLO v9 and last, and we will be creating some exciting web apps.
So what are you waiting for?
Enroll now in the course using the link provided in the description.
Thank you.