Content-Based Image Retrieval (CBIR) is a technology that allows users to search for images based on their visual content rather than metadata or keywords. It analyzes the actual content of images, such as colors, shapes, and textures, to find similar images in a database. This method is particularly useful in fields like medical imaging, digital libraries, and e-commerce. CBIR systems typically use algorithms to extract features from images and compare them to a query image. Users can upload an image, and the system retrieves visually similar images, making it easier to find relevant content without relying solely on text descriptions.