Visual Recognition Engine with Machine Learning

Abstract

The main aim of  Visual Recognition Engine with Machine Learning Project is to make use of Artificial intelligence. to recognize the visual content.

The ambiguous face of the Mona Lisa. The wild brushstrokes of Van Gogh. The melted clocks of Dali. Depictions of tales on Ancient Greek vases.Art has a way to entrance us and provoke thought – particularly modern art, which in the past tended to provoke feelings of bewilderment and confusion. It also raises questions.In the painting (a), is that a dog running along the leaves? How might we find similar such paintings? Upon witnessing the painting (b), a train enthusiast might wonder how the depiction of steam trains has varied across time. On the detail of a classical vase given in (c), who exactly is that seated figure?The painting (d) is entitled Portrait of an Unknown Woman. Can we find out who she is? The objective of this thesis is recognising the visual content of such art using machine learning.