We present an image search and retrieval system, Cortina, that indexes over 10 Million images using image content, text and annotations. This large collection of image data, gathered from the World Wide Web (WWW), poses significant challenges to automated image analysis, pattern recognition and database indexing. At the systems level, the components of Cortina include building image collections using a Web crawler, collecting category information and keywords, and processing images to compute content descriptors. Functionalities of Cortina include duplicate image detection, category and image content based search, face detection and relevance feedback. A MySql database is used for storing textual annotations and keywords, whereas the image features are stored in flat file structures. This combination appears to be effective and scalable for large collection of image/video data and is easily parallelizable.