Computer Vision is an interdisciplinary field that enables computers to interpret and understand the visual world. It encompasses a wide range of techniques and algorithms that allow machines to extract information from digital images or videos, replicate human vision processes, and make decisions based on visual input. From object detection and image classification to facial recognition and augmented reality, computer vision has applications in diverse industries such as healthcare, automotive, retail, security, and entertainment.
In this course, we'll dive into the essentials of computer vision, covering fundamental concepts, popular algorithms, practical techniques, and real-world applications. By the end of this course, you'll have a solid understanding of the principles underlying computer vision systems and the skills to implement your own computer vision projects.