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Short Description

The dataset is selected from Kaggle. The raw data comprises 50 artists in total and 8 of them are being selected as the number of artworks is about 200 in between.

Data augmentation and several models selected been implemented to test the performance of neural network model on artist identification from arts.

Aim

To test the performance of neural network models on highly unique data

To investigate the model through visualizing feature maps and convolution filter to make the models interpretable