Exploring Themes and Bias in Art using Machine Learning Image Analysis.

Machine learning and computer vision have been applied for image recognition of art objects such as paintings, sculpture images etc. In particular, deep learning methods for image classification in art have been used to improve user engagement by providing access to accurately labelled and classified art objects. As an increasing number of notable museums turn towards creating open access collections, alternatives to the use of laborious human annotating methods are needed.

Minimotif Miner 3.0: database expansion and significantly improved reduction of false-positive predictions from consensus sequences.

Minimotif Miner (MnM available at http://minimotifminer.org or http://mnm.engr.