Geo Landmark Recognition and Detection

The widespread use of smartphones and mobile data in the present-day society has exponentially led to interaction with physical world. increase amount image web applications makes search slow inaccurate. Landmark recognition, an retrieval task, faces its challenges due uncommon structure it possesses, such as, buildings, cathedrals, castles or museums. These are shot from various angles which often different each other, for instance, exterior interior a landmark. This paper Convolutional Neural Networks (CNN) based efficient recognition system that serves navigation, organize photo collections, identify fake reports unlabeled landmarks historical data. It identifies correctly variety images taken at viewpoints as well distances. An appropriate CNN architecture helps provide best solution currently selected dataset.