Description: The curriculum will have a two-part focus. It will begin with an introductory seminar that will list out a few of the frameworks that are available for object detection, with synopsis on each framework. The second seminar will be hands-on training to build a custom detection model with the keras enabled YOLOv3 framework.
Presenter(s): Gedion Teklemariam, - PET, GDIT
Location: Webcast
Date & Time: September 1 & 3 (Tuesday & Thursday), 3:00p - 4:30p ET
Prerequisites: Intermediate skill in Python programming, and familiarity with the following:
- keras
- Jupyter Notebook
- Anaconda 3.6
- The hands-on training will be based in Jupyter Notebook and will utilize open-source images from https://storage.googleapis.com/openimages/web/index.html
- This seminar builds on the Image Analysis with Scikit-Image & Ndimage seminars.
Distribution Statement D. Distribution authorized to the Department of Defense and U.S. DoD contractors only, Administrative or Operational Use, 3 September 2020. Other requests for this document shall be referred to the High Performance Computing Modernization Office, 3909 Halls Ferry Road, Vicksburg, MS 39180.