Content-based image retrieval (CBIR) is regarded as one of the most effective ways of accessing visual data . Also known as Query By Image Content (QBIC),CBIR is the application of computer vision techniques to the image retrieval problem.Content-based image retrieval is opposed to traditional concept-based approaches."Content-based" means that the search analyzes the contents of the image rather than the metadata such as keywords, tags, or descriptions associated with the image. The term "content" in this context might refer to colors, shapes, textures, or any other information that can be derived from the image itself.

Given a query image, to perform efficient retrieval of related images from the database and predict the class of the image.

Link : http://wang.ist.psu.edu/docs/related/

The dataset consists of images of 10 categories. Each category has 100 images, hence it has 1000 images in total.The categories are : Africa, Beach, Monuments, Buses, Dinosaurs, Elephants, Flowers, Horses, Mountains, and Food.