I have a solid database of a few hundred car images, but sharing it online wouldn’t be ethical. Some of the solutions you’ll see throughout the articles are based on them. 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: You will learn how to detect license plates with the YOLO algorithm. Today you’ll enter the world of modern computer vision with a hands-on example. Use this instead.Ĭomputer vision is everywhere - from facial recognition, manufacturing, agriculture, to self-driving vehicles. Traditional computer vision methods are outdated.
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