ANNOUNCEMENT One-hour tutorial on data annotation for computer vision (CV) and pattern recognition (PR) applications

Time/Date: 1100 - 1200 CDT Fri 18 Aug 2023 Venue: live tutorial in Room 2168 Engineering Hall (2168 DUE) or Zoom (https://ksu.zoom.us/my/banazir); asynchronous recorded version on Canvas for anyone registered Sponsored by: Laboratory for Knowledge Discovery in Databases (KDD Lab, http://www.kddresearch.org) ⊂ Center for Artificial Intelligence and Data Science (CAIDS, https://caids.cs.ksu.edu) ⊂ Department of Computer Science (CS, https://cs.ksu.edu) ⊂ Carl R. Ice College of Engineering (ENGG, https://engg.ksu.edu) ⊂ Kansas State University (https://www.ksu.edu) Instructor: Dr. Safia Malallah, postdoctoral research associate, K-State KDD Lab / CS

Purpose/Syllabus: This is an hour-long tutorial on how to annotate images for computer vision applications, specifically, how to create training data for machine learning using software packages such as OpenCV, PyTorch, TensorFlow, etc. The instructor will cover box and freehand (mask) annotation for object detection, plus labeling for classification in images, using platforms such as makesense.ai. This is a preliminary certification that the instructor developed as a postdoc at the KDD Lab for use in a wide variety of STEM and data science applications.

Prerequisite: none Equipment needed: laptop computer to get online from Engineering for live, in-person attendees; any computer with internet access otherwise Software needed: web browser (any operating system, including Windows, MacOS, Linux) for access to https://www.makesense.ai; nothing else to install Accounts needed: K-State eID for KSU Wireless access for live, in-person attendees; Zoom only for live, remote attendees; Canvas after the workshop for anyone else (or for those wishing to review the recording and any other materials)

Is registration required: yes for in-person registration (in advance to ensure seating; capacity is limited to 10 attendees) or Canvas (to be added to the course after the live tutorial and recording are complete); no for Zoom attendees (unless you wish to have Canvas access) E-mail address to register: bhsu@ksu.edu For more information: kddresearch@gmail.com and see https://bit.ly/kstate-cv

Last updated by physician on Aug 16, 2023