Udemy – Computer Vision Smart Systems : Python, YOLO and OpenCV -1 2024-10

Udemy – Computer Vision Smart Systems : Python, YOLO and OpenCV -1 2024-10 Downloadly IRSpace

Apr 18, 2025 - 18:10 Updated: Apr 21, 2025 - 19:50

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Udemy – Computer Vision Smart Systems : Python, YOLO and OpenCV -1 2024-10

Computer Vision Smart Systems: Python YOLO and OpenCV -1 Course. This course is designed for anyone looking to pursue a career in artificial intelligence and computer vision or want to use computer vision applications in their projects. In the “Computer Vision Smart Systems: Python, YOLO and OpenCV -1” course, we start with the basics of computer vision and cover image processing techniques using the Python programming language and the OpenCV library. Then, we move on to object recognition and deep learning modeling using the YOLO (You Only Look Once) algorithm. Students will learn how to build custom deep learning models from scratch, work with datasets, perform object recognition, and apply these models to various projects.

Throughout the course, step-by-step practical exercises are presented alongside theoretical knowledge, giving students the opportunity to apply what they have learned. In addition, we address common challenges you may encounter and provide detailed solutions. Aiming to build skills from a basic to intermediate level, this course serves as a comprehensive guide for anyone interested in the field of computer vision. This course will empower you to develop intelligent systems for your own projects and increase your expertise in this exciting field.

What you will learn in the Computer Vision Smart Systems: Python YOLO and OpenCV -1 course

Introduction to image processing and computer vision
Object detection with the YOLO algorithm
Building custom deep learning models
Practical project on counting cars
Project development and implementation

This course is suitable for people who:

Programming beginners: People who have no prior programming experience and want to learn Python and apply it to real-world applications in computer vision.
Prospective data scientists: Those looking to enter the field of data science and machine learning, especially in the field of computer vision.
Students and professionals: University students, recent graduates, or professionals looking to expand their skill set in artificial intelligence and image processing.
Enthusiasts and enthusiasts: Anyone interested in technology, artificial intelligence, or robotics and wants to discover how to build computer vision systems.
Developers moving into AI: Programmers or software developers who want to enter the field of AI and machine learning, especially in computer vision.
Project-Based Learners: People who learn best through hands-on projects and practical applications, as this course includes a final project on car counting.