Inspiration has many paintings of different genres and there is a need to make better interfaces to order, sort and search them

What it does

This is a classifier, which accurately classifies the given painting into 10 genres including landscape, portrait etc

How I built it

Built it using the Keras library with Hyperparameter optimisation done in Hyperas and Elephas library. Distributed optimization is performed using Spark nodes.

Challenges I ran into

Setting up Spark properly was a big challenge faced

What I learned

Learned quite a lot about Convolutional Neural Network architectures and their effectiveness.

What's next for artNet Genre Classifier

Next would be to do Painter recognition as well as Painting style classification

Built With

Share this project: