YOLOv11 : Complete Machine Learning Project From Scratch

Focused View

ARUNNACHALAM SHANMUGARAAJAN

31:10

0 View

1 - Introduction To Home Intrusion Detection Project Using Yolov11

1 -Introduction To Project.mp4

00:34

2 -Project Class 1 Project Workspace Creation.mp4

01:49

3 -Project Class 2 Dataset Collection.mp4

04:16

4 -Project Class 3 Dataset Annotation.mp4

04:30

5 -Project Class 4 Dataset Download.mp4

02:25

2 - Home Intrusion Detection Project Using Yolov11

1 -Project Class 5 Import Model in Google Colab.mp4

03:31

2 -Project Class 6 Import Dataset In Google Colab.mp4

01:34

3 -Project Class 7 Train Dataset Using YOLOv11.mp4

04:44

4 -Project Class 8 Validate Dataset & Output.mp4

07:47

Description

YOLOv11 : Complete Machine Learning Project From Scratch

What You'll Learn?

Dataset Preparation
Model Training and Testing
YOLOv11 Basics
Complete Project Implementation

Who is this for?

Students and Professionals in ML

Tech Enthusiasts and Hobbyists

What You Need to Know?

Basic Python Knowledge

More details

Description
Unlock the full potential of machine learning with the "YOLOv11: Complete Machine Learning Project From Scratch" course! This course is an in-depth, hands-on guide designed to lead you step-by-step through building a real-world project using YOLOv11, the latest advancement in the YOLO (You Only Look Once) family of object detection models. Starting from the absolute basics, this course equips you with the essential skills and practical knowledge to create a sophisticated object detection system from scratch. Youâ€™ll explore everything from setting up your environment to implementing a fully functional machine learning model.
With a focus on practical learning, this course covers all aspects of working with YOLOv11, including dataset preparation, model training, and evaluation. You'll gain experience with data annotation, model fine-tuning, and how to handle common challenges in object detection. By the end of this course, youâ€™ll know how to deploy your model, enabling it to make predictions in real-time, suitable for applications in security, automation, and more.

Fundamentals of YOLOv11: Learn how YOLOv11 outperforms previous versions with enhanced accuracy and speed, and understand its key components.
Project Setup & Dataset Preparation: Set up your development environment, collect and annotate data, and prepare a training-ready dataset.
Model Training and Evaluation: Master the training process for YOLOv11, learning how to optimize performance and evaluate results accurately.
Deployment Techniques: Implement your trained model for real-time object detection applications.
Perfect for students, developers, and AI enthusiasts, this course is tailored to those who want to build robust skills in machine learning. Start your journey to creating high-impact AI models today by enrolling in the "YOLOv11: Complete Machine Learning Project From Scratch"!
Who this course is for:
Students and Professionals in ML
Tech Enthusiasts and Hobbyists

User Reviews

Rating

average 0

Total votes0

Focused display

Python

ARUNNACHALAM SHANMUGARAAJAN

Instructor's Courses

Hi I am Arun From India. I am a computer science student and I have choosen cybersecurity as my profession. I am youtube content Creater and i teach people about the latest technology and new softwares and I am big cricket fan of MS Dhoni. I am better teaching communication and i can help people with my experienced knowledge about the technology. I am choosing Udemy to show my passion towards technology and Science..

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.