Image Annotation with OpenCV: Drawing Shapes in Python

Visual data is much more powerful when you can highlight exactly what matters. Programmatically annotating images is a foundational skill for computer vision, object detection workflows, and basic image editing. In this text-based course, you will learn how to load images, manipulate coordinate systems, and overlay precise shapes using OpenCV and Python. You will progress from understanding pixel grids to writing clean, modern Python code for real-world image annotation tasks. What you'll learn: - Understand the OpenCV coordinate system and how images are represented as multidimensional arrays. - Draw fundamental geometric shapes including lines, rectangles, circles, and polygons. - Overlay customizable text and labels onto images for clear visual annotation. - Apply modern Python practices, including type hints, to write clean and maintainable scripts. - Configure colors, thickness, and line types to suit different image backgrounds. - Practice your skills through structured code walkthroughs and written exercises. This course begins with core definitions and image representation concepts before guiding you through hands-on shape-drawing techniques. You will read clear explanations and analyze functional Python code snippets to build your practical computer vision skills. This beginner-friendly course is designed for Python developers and aspiring data specialists who want to learn basic image manipulation. No prior experience with OpenCV is required. Start mastering the basics of image annotation today.