Article Info
A Developed Model to Predict the Artist on Basis of Art using Deep Learning
Ammar Hussain Jabbar, Taj-aldeen Naser Abdali, Haitham Qutaiba Ghadhban, Dina Fitria Murad, Rosilah Hassan, Arba'iah Inn, Hasanain Naser Abd Ali
Abstract
Painting is an extraordinary visit from the painter who expresses feelings that can be transformed into a form or image based on the painter?s concept. In addition, these feelings land on the surface with some pixels based on the arrangement based on computer science vision which is one of the most effective techniques to help improve this field. However, there are a large number of art paintings around the world and it is a challenging task to Predict artists based on their art. Therefore, this study proposes a model to predict artists based on their art using deep learning. The proposed study developed a model in particular used determine the art on basis of the artist by applying and tune the model because each model has its own advantages and disadvantages and also a set of variables through which the optimality of the model can outperform tested by state-of-the-art implementation of ResNet50, using Neural Network.
keyword
Art Painting, Artificial Intelligence, Deep Learning, Machine Learning
Area
Pattern Recognition