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analzsing produce crate label images via Python and ImageJ
2019

read the project here.
INFO-657 Digital Humanities: This course examines the history, theory, and practice of digital humanities, paying special attention to the ways in which digital humanities are transforming research, disciplines, and even the academic itself. Topics include contrasts and continuities between traditional and digital humanities; tools and techniques used by digital humanists; the processes of planning, funding, managing, and evaluation digital humanities projects; ways in which the digital humanities impact scholarly communication and higher education; and the special roles of libraries and information professionals in this growing movement.


The final requirement for INFO-687 Digital Humanities, was to create your own digital humanities exploration. I chose to utilize coding skills in Python learned from my course INFO-664: Programming for Cultural Heritage to analyze fruit crate labels pulled from the Boston Public Library via the Digital Commonwealth of Massachusetts. The Digital Commonwealth is a site that allows visitors to view collections from archives, libraries, and special collections across Massachusetts.




The main research question began by looking at how to use computer-based methods to analyze produce crate label images from the 1930-1960s and to track any correlation between aesthetic choices, type of fruit, and geography. I aimed to track the evolution of these visuals but as the project went on, the scope changed to look at the aesthetics of the labels themselves with special attention being placed on looking at brightness, color choices, and saturation. 

This was heavily influenced by the work of Kevin Ferguson and his project Digital Surrealism: Visualizing Walt Disney Animation Studio