Date: Fri, 29 Mar 2024 07:11:01 -0500 (CDT) Message-ID: <768428451.376.1711714261524@os-confluence.ncsa.illinois.edu> Subject: Exported From Confluence MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_Part_375_1713604294.1711714261524" ------=_Part_375_1713604294.1711714261524 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable Content-Location: file:///C:/exported.html
The goal of IARP is to analyzing a large corpus of imagery from the Libr= ary of Congress. This will entail using extant algorithms and creating new = ones to identify features contained in the images and automatically tagging= collections of such images according to semantically meaningful categories= . Additionally, XSEDE ECSS will aid in integrating the image analyses with = the extant metadata that is currently associated with the collection. ECSS = will assist with the logistics of the software stack and integration of too= ls such as DIBBs Brown Dog / NCSA Clowder on the XSEDE HPC system (SDSC Com= et).