Traffic Signs Classification Using Convolution Neural Networks CNN | OPENCV Python

Train and classify Traffic Signs using Convolutional neural networks This will be done using OPENCV in real time using a simple webcam . CNNs have been gaining popularity in the past couple of years due to their ability to generalize and classify the data with high accuracy. In this video we will train traffic signs with over 35000 images of 43 different classes with the help of tensorflow and keras . By the end of the video I be will sharing information that will help you classify your own data set. Info such as how long does it take to train and how much data of each class is required to have a good classification model.

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Full OpenCV 3 Hour Course: https://youtu.be/WQeoO7MI0Bs
Detailed CNN Tutorial: https://youtu.be/y1ZrOs9s2QA
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#CNN
#Keras
#TrafficSigns

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Видео Traffic Signs Classification Using Convolution Neural Networks CNN | OPENCV Python канала Murtaza's Workshop - Robotics and AI