Project

Overview

I enrolled in the three courses provided by OpenCV to learn how to use OpenCV and gain experience with deep learning. The first two courses focused on understanding how OpenCV works while the third course focused mainly on current state of the art deep learning algorithms and libraries. The third course introduced many convolutional neural networks, including AlexNet and VGG, as well as libraries and frameworks such as YOLO and Detectron2. This particular project utilized a Mask-RCNN neural net within the Detectron2 platform trained on license plate data in order to identify license plates on static images as well as a video.