Description
YOLOv7 YOLOv8 YOLO-NAS: Object Detection, Tracking & WebApp is a project-based training course on the YOLO algorithm and the development of object detection and tracking systems, published by Yodemy Academy. This training course will offer you a total of more than 22 different applications and projects, each of which will have unique training tips. All the projects will be implemented in the web environment and will be available online. This training course contains a series of different topics, among the most important of which we can mention the detection and identification of objects, segmentation algorithms, tracking, detection and prediction of body movements, etc. Computer vision is one of the most popular and controversial topics in computer science, which will be discussed and analyzed in this training course.
What you will learn in YOLOv7 YOLOv8 YOLO-NAS: Object Detection, Tracking & WebApp training course:
- Object identification and detection systems
- Convolutional Neural Networks or CNN for short
- A region-based convolutional neural network
- The YOLO algorithm
- Accurate and professional measurement in computer vision
- Intersection Over Union (IOU) criterion
- Detect objects in images and videos using YOLO
- Running YOLO version 8 for Windows and Google Club
- Multiple object tracking and tracking algorithms
- Algorithms for detecting the amount of heavy traffic on different roads
- Segmentation of images and objects with YOLO algorithm version 7
- Development of a system for counting various sports movements, including sitting and… with YOLOv7
- And …
Course details
Publisher: Yudmi
teacher: Muhammad Moin
English language
Training level: introductory to advanced
Number of courses: 77
Training duration: 13 hours and 58 minutes
Course topics on 5/2023
Course prerequisites
Python programming experience is an advantage but not required
Laptop/PC
Course images
YOLOv7 YOLOv8 YOLO-NAS course introduction video: Object Detection, Tracking & WebApp
Installation guide
After Extract, view with your favorite Player.
Subtitle: None
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
8.4 GB
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