In the digital age, the ability to manipulate and understand images is not just a skill but a necessity, especially in fields like computer vision and generative AI. This course is designed to demystify the complexities of digital images, teaching you the foundational skills needed to prepare and utilize images effectively in various technological applications. In this course, Image Representation and Processing, you’ll learn to master the art and science of transforming digital images into actionable data. First, you’ll explore the concept of image representations, uncovering how images are digitally constructed and perceived. This knowledge lays the groundwork for understanding how images are processed and manipulated. Next, you’ll discover the intricacies of color spaces and image transformations, learning how to manipulate these elements to achieve desired outcomes in image analysis and modification. Finally, you’ll learn how to build an image classifier, a fundamental skill in computer vision, which will enable you to categorize and interpret images automatically. When you’re finished with this course, you’ll have the skills and knowledge of image representation and processing needed to effectively prepare images for computer vision and generative AI models. On top of that, you’ll be equipped to tackle real-world problems, from automating image categorization to enhancing image data for advanced AI applications, paving the way for innovative solutions in various industries.
Author Name: Pratheerth Padman
Author Description:
Pratheerth is a Data Scientist who has entered the field after an eclectic mix of educational and work experiences. He has a Bachelor’s in Engineering in Mechatronics from India, Masters in Engineering Management from Australia and then a couple of years of work experience as a Production Engineer in the Middle East. Then when the A.I bug bit him, he dropped everything to dedicate his life to the field. He is currently working on mentoring, course creation and freelancing as a Data Scientist.