AUT-N1791 Hands-On Workshop Recognition of Traffic Signs Using CNN and Other Classification Algorithms

File uploaded by Lisa Hughes Employee on May 25, 2016Last modified by Renee Fortenberry on Dec 18, 2018
Version 2Show Document
  • View in full screen mode

Aimed to be a hands-on the exercise would consist in using a vision processor to run CNN on various pictures to recognize traffic signals (Stop, Turn, Yield, etc). First we will cover basic concepts on machine learning for the algorithms to be used. After the class part is over, we will use a vision processor to run CNN to recognize between traffic signs and no traffic signs.

Outcomes