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YOLOv9 represents the latest advancement 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.
Read more
YOLOv9 represents the latest advancement 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.
Read more
YOLOv9 represents the latest advancement 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 09, we will create web applications by integrating YOLOv9 with Flask.
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
Register for this course and see more details by visiting:
OpenCourser.com/course/0iu66q/yolov9
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Deepens understanding of computer vision principles, including Non-Maximum Suppression and Mean Average Precision, which are foundations for object detection
Provides a deep dive into the architecture of YOLOv9, comparing it to other object detection models and highlighting its advancements, which keeps students updated with industry standards
Demonstrates practical applications of YOLOv9, including object detection on images and videos, as well as webcam feed, which allows students to apply their knowledge in real-world scenarios
Offers guidance on training custom YOLOv9 models for specific detection tasks, such as Personal Protective Equipment (PPE) detection, which enhances students' ability to adapt the model to industry needs
Incorporates object tracking techniques by integrating YOLOv9 with DeepSORT and SORT algorithms, which expands students' knowledge beyond pure object detection and into object tracking
Introduces YOLO-World, a new framework for object detection, and provides a step-by-step guide to its use, which keeps students abreast of cutting-edge advancements in the field
Save this course
Save YOLOv9: Learn Object Detection, Tracking with WebApps to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in YOLOv9: Learn Object Detection, Tracking with WebApps with these
activities:
Seek mentorship from an experienced YOLOv9 practitioner
Show steps
Accelerate your learning by finding an experienced YOLOv9 practitioner who can provide tailored guidance and support, helping you overcome challenges and optimize your implementation.
Show steps
-
Identify potential mentors through online platforms, industry events, or personal connections.
-
Reach out to potential mentors, expressing your interest and goals.
-
Meet with your mentor regularly to discuss your progress, seek feedback, and receive guidance.
Review Visual Studio IDE
Show steps
Review the basics of Visual Studio to ensure you can navigate the interface and perform basic tasks like debugging.
Browse courses on
Visual Studio
Show steps
-
Access and explore the Visual Studio interface, including the menus, toolbars, and status bar.
-
Create a new C# project, add code files, and compile the project.
-
Set breakpoints, debug code, and step through the program execution.
Review 'Deep Learning for Object Detection'
Show steps
Deepen your theoretical understanding of object detection by reviewing this book, which delves into the core concepts and techniques used in YOLOv9.
View
Melania
on Amazon
Show steps
-
Read and understand the introduction and background of object detection.
-
Review different object detection architectures and algorithms.
-
Analyze the strengths and weaknesses of YOLOv9 compared to other approaches.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice DSA using Leetcode
Show steps
Challenge yourself by solving coding problems on Leetcode to strengthen your understanding of data structures and algorithms, which are fundamental concepts in YOLOv9.
Show steps
-
Choose a problem to solve and analyze its requirements.
-
Design and implement a solution using appropriate data structures and algorithms.
-
Test your solution and identify any potential bugs.
Follow tutorials on customizing YOLOv9 for PPE detection
Show steps
Enhance your practical skills by following guided tutorials that demonstrate how to customize YOLOv9 for specific tasks like PPE detection, which will make its application more tailored and effective.
Show steps
-
Identify and select reputable tutorials that provide guidance on customizing YOLOv9 for PPE detection.
-
Follow the tutorials step-by-step, implementing the techniques and configurations for PPE detection.
-
Test the customized YOLOv9 model and evaluate its performance for PPE detection.
Build a Python script for object detection on images
Show steps
Apply your knowledge by developing a Python script that performs object detection on images using YOLOv9, which will solidify your understanding of its implementation.
Browse courses on
Python
Show steps
-
Install YOLOv9 and its dependencies in your Python environment.
-
Load an image and preprocess it for object detection.
-
Perform object detection using YOLOv9 and display the results.
Attend a workshop on YOLOv9
Show steps
Gain hands-on experience and deepen your knowledge of YOLOv9 by attending a workshop led by experts in the field.
Show steps
-
Research and identify a suitable YOLOv9 workshop.
-
Register for the workshop and prepare any necessary materials.
-
Attend the workshop, actively participate in discussions, and take notes.
Volunteer as a YOLOv9 mentor
Show steps
Reinforce your understanding of YOLOv9 by sharing your knowledge and guiding others, which can deepen your own understanding and identify areas where you need further development.
Show steps
-
Identify opportunities to volunteer as a YOLOv9 mentor in online forums or communities.
-
Prepare materials and resources to support your mentees.
-
Provide guidance and feedback to your mentees, answering their questions and helping them overcome challenges.
Seek mentorship from an experienced YOLOv9 practitioner
Show steps
Accelerate your learning by finding an experienced YOLOv9 practitioner who can provide tailored guidance and support, helping you overcome challenges and optimize your implementation.
Show steps
Show steps
Show steps
- Identify potential mentors through online platforms, industry events, or personal connections.
- Reach out to potential mentors, expressing your interest and goals.
- Meet with your mentor regularly to discuss your progress, seek feedback, and receive guidance.
Review Visual Studio IDE
Show steps
Review the basics of Visual Studio to ensure you can navigate the interface and perform basic tasks like debugging.
Browse courses on
Visual Studio
Show steps
Show steps
Show steps
- Access and explore the Visual Studio interface, including the menus, toolbars, and status bar.
- Create a new C# project, add code files, and compile the project.
- Set breakpoints, debug code, and step through the program execution.
Review 'Deep Learning for Object Detection'
Show steps
Deepen your theoretical understanding of object detection by reviewing this book, which delves into the core concepts and techniques used in YOLOv9.
View
Melania
on Amazon
Show steps
Show steps
Show steps
- Read and understand the introduction and background of object detection.
- Review different object detection architectures and algorithms.
- Analyze the strengths and weaknesses of YOLOv9 compared to other approaches.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice DSA using Leetcode
Show steps
Challenge yourself by solving coding problems on Leetcode to strengthen your understanding of data structures and algorithms, which are fundamental concepts in YOLOv9.
Show steps
Show steps
Show steps
- Choose a problem to solve and analyze its requirements.
- Design and implement a solution using appropriate data structures and algorithms.
- Test your solution and identify any potential bugs.
Follow tutorials on customizing YOLOv9 for PPE detection
Show steps
Enhance your practical skills by following guided tutorials that demonstrate how to customize YOLOv9 for specific tasks like PPE detection, which will make its application more tailored and effective.
Show steps
Show steps
Show steps
- Identify and select reputable tutorials that provide guidance on customizing YOLOv9 for PPE detection.
- Follow the tutorials step-by-step, implementing the techniques and configurations for PPE detection.
- Test the customized YOLOv9 model and evaluate its performance for PPE detection.
Build a Python script for object detection on images
Show steps
Apply your knowledge by developing a Python script that performs object detection on images using YOLOv9, which will solidify your understanding of its implementation.
Browse courses on
Python
Show steps
Show steps
Show steps
- Install YOLOv9 and its dependencies in your Python environment.
- Load an image and preprocess it for object detection.
- Perform object detection using YOLOv9 and display the results.
Attend a workshop on YOLOv9
Show steps
Gain hands-on experience and deepen your knowledge of YOLOv9 by attending a workshop led by experts in the field.
Show steps
Show steps
Show steps
- Research and identify a suitable YOLOv9 workshop.
- Register for the workshop and prepare any necessary materials.
- Attend the workshop, actively participate in discussions, and take notes.
Volunteer as a YOLOv9 mentor
Show steps
Reinforce your understanding of YOLOv9 by sharing your knowledge and guiding others, which can deepen your own understanding and identify areas where you need further development.
Show steps
Show steps
Show steps
- Identify opportunities to volunteer as a YOLOv9 mentor in online forums or communities.
- Prepare materials and resources to support your mentees.
- Provide guidance and feedback to your mentees, answering their questions and helping them overcome challenges.
Career center
Learners who complete YOLOv9: Learn Object Detection, Tracking with WebApps will develop knowledge and skills
that may be useful to these careers:
Computer Vision Researcher
Computer Vision Researcher
A Computer Vision Researcher designs and develops computer vision systems and algorithms. They use their expertise in computer vision to solve real-world problems, such as object detection and tracking. This course provides a comprehensive overview of object detection and tracking with the latest advancements in computer vision, including YOLOv9. By taking this course, you will gain the skills and knowledge necessary to succeed as a Computer Vision Researcher.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer develops and deploys machine learning models to solve real-world problems. They use their expertise in machine learning to build models that can learn from data and make predictions. This course provides a solid foundation in machine learning, including object detection and tracking with YOLOv9. By taking this course, you will gain the skills and knowledge necessary to succeed as a Machine Learning Engineer.
Computer Vision Engineer
Computer Vision Engineer
A Computer Vision Engineer designs and develops computer vision systems and algorithms. They use their expertise in computer vision to solve real-world problems, such as object detection and tracking. This course provides a comprehensive overview of object detection and tracking with the latest advancements in computer vision, including YOLOv9. By taking this course, you will gain the skills and knowledge necessary to succeed as a Computer Vision Engineer.
Robotics Engineer
Robotics Engineer
A Robotics Engineer designs, develops, and tests robots. They use their expertise in robotics to build robots that can perform a variety of tasks, such as object detection and tracking. This course provides a comprehensive overview of object detection and tracking with the latest advancements in computer vision, including YOLOv9. By taking this course, you will gain the skills and knowledge necessary to succeed as a Robotics Engineer.
Data Scientist
Data Scientist
A Data Scientist uses data to solve real-world problems. They use their expertise in data science to build models that can learn from data and make predictions. This course provides a solid foundation in data science, including object detection and tracking with YOLOv9. By taking this course, you will gain the skills and knowledge necessary to succeed as a Data Scientist.
Game Developer
Game Developer
A Game Developer designs, develops, and tests games. They use their expertise in game development to build games that are fun and engaging. This course provides a solid foundation in game development, including object detection and tracking with YOLOv9. By taking this course, you will gain the skills and knowledge necessary to succeed as a Game Developer.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and tests software. They use their expertise in software engineering to build software that meets the needs of users. This course provides a solid foundation in software engineering, including object detection and tracking with YOLOv9. By taking this course, you will gain the skills and knowledge necessary to succeed as a Software Engineer.
Web Developer
Web Developer
A Web Developer designs, develops, and tests websites. They use their expertise in web development to build websites that are user-friendly and meet the needs of users. This course provides a solid foundation in web development, including object detection and tracking with YOLOv9. By taking this course, you will gain the skills and knowledge necessary to succeed as a Web Developer.
Mobile App Developer
Mobile App Developer
A Mobile App Developer designs, develops, and tests mobile apps. They use their expertise in mobile app development to build mobile apps that are user-friendly and meet the needs of users. This course provides a solid foundation in mobile app development, including object detection and tracking with YOLOv9. By taking this course, you will gain the skills and knowledge necessary to succeed as a Mobile App Developer.
Product Manager
Product Manager
A Product Manager is responsible for the development and marketing of a product. They use their expertise in product management to ensure that the product meets the needs of users. This course provides a solid foundation in product management, including object detection and tracking with YOLOv9. By taking this course, you will gain the skills and knowledge necessary to succeed as a Product Manager.
Technical Writer
Technical Writer
A Technical Writer creates and maintains documentation for software and hardware products. They use their expertise in technical writing to ensure that the documentation is clear and concise. This course may provide some useful information about object detection and tracking with YOLOv9 that could be helpful in writing technical documentation.
Project Manager
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. They use their expertise in project management to ensure that projects are completed on time, within budget, and to the required quality. This course may provide some useful information about object detection and tracking with YOLOv9 that could be helpful in managing projects.
Sales Engineer
Sales Engineer
A Sales Engineer is responsible for selling and implementing software and hardware solutions. They use their expertise in sales engineering to help customers make informed decisions about their technology investments. This course may provide some useful information about object detection and tracking with YOLOv9 that could be helpful in the sales process.
Marketing Analyst
Marketing Analyst
A Marketing Analyst is responsible for analyzing marketing campaigns and data. They use their expertise in marketing analysis to help organizations improve their marketing efforts. This course may provide some useful information about object detection and tracking with YOLOv9 that could be helpful in conducting marketing analysis.
Business Analyst
Business Analyst
A Business Analyst is responsible for analyzing business processes and systems. They use their expertise in business analysis to help organizations improve their efficiency and effectiveness. This course may provide some useful information about object detection and tracking with YOLOv9 that could be helpful in conducting business analysis.
For more career information including salaries, visit:
OpenCourser.com/course/0iu66q/yolov9
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
YOLOv9: Learn Object Detection, Tracking with WebApps.
Provides a comprehensive overview of generating data privacy rules and guidelines. It covers the YOLOv9 model in detail, and valuable resource for anyone who wants to learn more about this topic.
Provides a comprehensive overview of data privacy rules and guidelines. It covers the YOLOv9 model in detail, and valuable resource for anyone who wants to learn more about this topic.
Provides a practical guide to deep learning for computer vision. It covers a wide range of topics, including convolutional neural networks, object detection, and image segmentation.
Save
Provides a comprehensive overview of deep learning for computer vision. It covers a wide range of topics, including convolutional neural networks, object detection, and image segmentation.
Provides a comprehensive overview of computer vision, including object detection. It valuable resource for understanding the theoretical foundations of object detection.
Provides a practical guide to deep learning with Python. It covers a wide range of topics, including neural networks, convolutional neural networks, and recurrent neural networks.
Save
Provides a comprehensive overview of computer vision algorithms and applications. It covers a wide range of topics, including image formation, feature detection, object recognition, and video analysis.
Provides a comprehensive overview of Keras, a popular deep learning library. It covers the basics of deep learning and how to use Keras to build and train deep learning models. This book valuable resource for anyone who wants to learn more about deep learning and Keras.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/0iu66q/yolov9
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Effort
7.5 total hours
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Good to know
Deepens understanding of computer vision principles, including Non-Maximum Suppression and Mean Average Precision, which are foundations for object detection
Provides a deep dive into the architecture of YOLOv9, comparing it to other object detection models and highlighting its advancements, which keeps students updated with industry standards
Demonstrates practical applications of YOLOv9, including object detection on images and videos, as well as webcam feed, which allows students to apply their knowledge in real-world scenarios
Offers guidance on training custom YOLOv9 models for specific detection tasks, such as Personal Protective Equipment (PPE) detection, which enhances students' ability to adapt the model to industry needs
Incorporates object tracking techniques by integrating YOLOv9 with DeepSORT and SORT algorithms, which expands students' knowledge beyond pure object detection and into object tracking
Introduces YOLO-World, a new framework for object detection, and provides a step-by-step guide to its use, which keeps students abreast of cutting-edge advancements in the field
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