Content-Based Image Retrieval (CBIR) is a technology that allows users to search for images based on their visual content, such as color, texture, shape, and other visual features, rather than relying on textual tags or metadata. CBIR algorithms analyze the visual features of images and create a visual representation, also known as a feature vector, which is used for image retrieval. When a user queries the system with an image or a description of the desired image, the CBIR system compares the query image or description with the feature vectors of the images in the database and retrieves the images that are most visually similar to the query