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Grant number like: HAA-266472-19

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South Carolina Department of Natural Resources (Columbia, SC 29202-0167)
Karen Yvonne Smith (Project Director: January 2019 to present)
Song Wang (Co Project Director: May 2019 to present)
Jun Zhou (Co Project Director: May 2019 to present)
Colin Wilder (Co Project Director: May 2019 to present)
SnowVision: A Machine Learning-Based Image Processing Tool for the Study of Archaeological Collections

The expansion and extension of a set of machine learning-based tools designed to assist scholars with identifying and classifying artifacts from archaeological sites based on design motifs.

Two years of NEH Digital Humanities Advancement Grant Level III funding is sought to increase availability and strengthen usability of SnowVision. The grant will support 1) the integration of SnowVision with an interactive, online user interface, 2) the acquisition and integration feedback from scholars working in laboratories and curation facilities across the Southeast, 3) the enhancement of the technological infrastructure of SnowVision so that the newly integrated system meets the needs of the user community and has a framework built for long-term success, and 4) providing select institutions with start-up funds to begin digitizing collections, providing the USC team with rigorous, off-site testing of the system. Collaboration between the USC development team and an Advisory Committee will increase the utility of SnowVision, secure buy-in from stakeholders, and ensure extensibility of the software. NEH funding will support software enhancement of accuracy, reliability, and speed.

[Grant products]

Project fields:

Digital Humanities Advancement Grants

Digital Humanities

$323,668 (approved)
$323,668 (awarded)

Grant period:
9/1/2019 – 8/31/2022