From: "Cliff Lynch cliff@cni.org" Sender: To: CNI-ANNOUNCE Date: Wed, 30 Jun 2021 23:55:00 -0400 Message-ID: X-Original-Return-Path: Received: from [73.193.181.76] (account clifford@cni.org HELO [192.168.1.4]) by cni.org (CommuniGate Pro SMTP 6.2.7) with ESMTPSA id 38107257 for cni-announce@cni.org; Wed, 30 Jun 2021 21:34:52 -0400 X-Original-Date: Wed, 30 Jun 2021 21:34:52 -0400 X-Original-To: cni-announce@cni.org X-Original-Message-ID: <20210630213452639232.7f32319b@cni.org> Subject: Ground Truth Cultural Heritage Data and Machine Learning Survey MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit X-Mailer: GyazMail version 1.6.5 Our colleague Thomas Padilla, now at the Center for Research Libraries, is doing a survey as part of a new project called Ground Truths which in is looking at the very important issue of using cultural heritage data in machine learning contexts (there are real problems with well-labelled training datasets, for example). If you follow this link, there's more background on the project before you start the survey form. See https://forms.gle/wQZAYDskNJW7t42D9 I think this should develop some very interesting data for the community, and as it's compiled I'll share pointers here. Also, hopefully, we can get an update on this work as it moves forward during one of our upcoming CNI meetings. Clifford Lynch Director, CNI