المدة الزمنية 17:59

Traffic Signs Classification Using Convolution Neural Networks CNN | OPENCV Python

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تم نشره في 2020/01/02

Train and classify Traffic Signs using Convolutional neural networks This will be done using OpenCV in real-time using a simple webcam. CNN's 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 will share 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. Code & Files: https://www.computervision.zone/courses/traffic-sign-classification/ Premium Courses: ✔️ Computer Vision Game Development Course: https://bit.ly/3ttLZ2s ✔️ Computer Vision with Arduino Course: https://bit.ly/3wzLB4m ✔️ Advanced Drone Programming Course: https://bit.ly/3qs3v5g ✔️ Learn to Build Computer Vision Mobile Apps: https://bit.ly/3uioY1J ✔️ Jetson Nano Premium Course: https://bit.ly/3L8uIlF Follow Me: TikTok: https://bit.ly/3Vo76OQ Facebook Group: https://bit.ly/3irDcb7 Discord: https://bit.ly/3JvyxAM Facebook Page: https://bit.ly/3IvpU7W Instagram : https://bit.ly/3NdGME3 Website: https://bit.ly/3ICFTS0 Github: https://bit.ly/3woU6PS Product Links: Recommend Webcam for Computer Vision: https://amzn.to/2MNtVKZ Budget Webcam: https://amzn.to/2ZP47Ug Computer Vision Robot Arm : https://amzn.to/3L1YacX Cheap Drone for OpenCV: https://amzn.to/2TZpsJy DC Motors + Wheels + Chassis: https://amzn.to/2SCZon3 DC Motors + Wheels: https://amzn.to/2QeEusw Arduino UNO: https://amzn.to/3Jwpz6h Motor Driver: https://amzn.to/35grl6x Battery: https://amzn.to/2Fadc0c Raspberry Pi 4 Best Starter Kit: https://amzn.to/3JvnEz1 Raspberry Pi Recommended Battery: https://amzn.to/2C0I9pl My Setup: Mouse: https://amzn.to/3tsx3BR Mechanical Keyboard: https://amzn.to/3JyVV0q Normal Keyboard: https://amzn.to/3L325WJ GPU: https://amzn.to/3NdzmjW CPU: https://amzn.to/3wsmhgI SSD: https://amzn.to/3wzY7AS MIC: https://amzn.to/3D43TMk Camera: https://amzn.to/36yvl90 3D Printer: https://amzn.to/3ipWNZ4 Sim Race: https://amzn.to/3IqfvKJ #ComputerVision #OpenCV #CVZone

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