To download it, execute this line from a code cell: !git clone Some of the solutions you’ll see throughout the articles are based on them.ĭarknet is an open-source neural network framework that features a YOLO object detection system. It will work every time and in every weather condition.īefore we get started, I would like to take a moment to give a shoutout to all YOLO object detection tutorials, especially this one. After reading this article, you will have a robust model for detecting license plates. Their algorithms work on images within the article due to hardcoded values, but fail to generalize. Thresholding and contour detection isn’t enough in late 2020. Most articles use old-school computer vision methods to detect the plate. Why do you need YOLO? What’s wrong with traditional computer vision approaches? Well, my friend, I have three words for you: Photo by mali maeder from Pexels applied to a custom-built YOLO license plate detection model
