The drastic increase in the number of artworks that are digitized created a data pool. This pool required people to find ways to retrieve and archive the data. Artists use different concepts to describe paintings such as texture, colors, patterns and balance. The main problem caused by this situation is that some features may give high variations. Mona is a categorization tool of fine art paintings in terms of their specifications such as genre, style etc. by processing visual features. To demonstrate Mona, we are going to use a publicly available dataset from Kaggle which is Painter by Numbers prepared by Kiri Nichol.
selinozdas / mona Goto Github PK
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License: MIT License