Computer Vision Smart Systems : Python, YOLO and OpenCV -1

Develop Your Own Computer Vision Smart System with Python and YOLO | Step-by-Step | OpenCV | Real-Time Object Detection

Created by: Yılmaz Alaca
Electrical and Electronics Engineer | Author | Instructor

What Will I Learn?

• Introduction to Image Processing and Computer Vision,
• Object Detection with YOLO Algorithm
• Building Custom Deep Learning Models
• Practical Vehicle Counting Project
• Project Development and Implementation

Requirements

• No Prior Experience Required
• Basic Computer Skills
• Eagerness to Learn

Target audience

• Beginners in Programming: Individuals with no prior programming experience who want to learn Python and apply it to real-world applications in computer vision.
• Aspiring Data Scientists: Those looking to enter the field of data science and machine learning, particularly in the domain of computer vision.
• Students and Professionals: College students, recent graduates, or professionals seeking to expand their skill set in artificial intelligence and image processing.
• Hobbyists and Enthusiasts: Anyone with a keen interest in technology, artificial intelligence, or robotics who wants to explore how computer vision systems are built.
• Developers Transitioning to AI: Programmers or software developers wanting to branch into the field of artificial intelligence and machine learning, specifically in computer vision.
• Project-Based Learners: Individuals who learn best through hands-on projects and practical applications, as this course includes a final project on vehicle counting.