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November 25, 2024 by Gary Price

Library of Congress: “Collaging with the Library’s Digital Collections”

November 25, 2024 by Gary Price

From a LC Blog Post by Brian Foo:

In 2018, the Library launched the very popular Free To Use and Reuse Sets, where staff curate thematic sets of items from our digital collections that are either in the public domain, have no known copyright restrictions or have been cleared by the copyright owner for public use. The public is not only free to enjoy and consume this material, but they are also encouraged to transform them, recontextualize them, and make them their own. One of the first examples of “reuse” that we nearly all encounter at a young age is collage—the art of selecting, cutting, pasting, and rearranging found material and imagery. 

In the summer of 2024, Junior Fellows Ilayda Dogan, Shauna-Kay Harrison and Aisaiah Pellecer worked with LC Labs to explore how they can create a new and engaging digital collage tool by leveraging emerging technologies and approaches in areas such as machine learning and computer vision. Starting with the Library’s Free to Use and Reuse items, the Junior Fellows used the latest approaches for computational techniques such as object detection and image segmentation to automatically identify subjects within a wide variety of images and “cut” them into segments that could be easily arranged and manipulated on an online digital canvas.

A screenshot of the final web interface where users can drag, drop, and manipulate figures and objects within images form the Library’s digital collections.

[Clip]

The impressive list of deliverables created by Dogan, Harrison, and Pellecer include: (1) comprehensive documentation of the creative, intellectual, and technical aspects of the project, (2) a series of Jupyter notebooks that walk users through the code that powers the project, (3) an open source web interface that allows users to create their own collage using Free to Use and Reuse collection items, and (4) evaluations of the machine learning technologies they used, including assessments of their benefits, potential risks, and risk mitigation strategies using the LC Labs AI Planning Framework.

Learn More, Read the Complete Post

Direct to Collaging through Space and Time: Computer Vision for Creative Explorations of the Library’s Digital Collections

Filed under: Digital Collections, Interactive Tools, Libraries, News, Patrons and Users

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About Gary Price

Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com.

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