How to Detect License Plates with Python and YOLO

By Medium - 2020-11-22

Description

Traditional computer vision methods are outdated. Use this instead.

Summary

Traditional computer vision methods are outdated.
Image 3 — Opening images with LabelIMG (image by author) Make sure that the tag in the left panel says YOLO.
In Colab, it took around 2 hours to train the model in my case, but the time can change, depending on the GPU and the dataset size.
Please let me know in the comment section.

Topics

NLP (0.16)
Backend (0.13)
Machine_Learning (0.11)

Similar Articles

Fingerprinting Images for Near-Duplicate Detection

By realpython - 2021-01-22

Let's look at how to to utilize image fingerprinting to perform near-duplicate image detection.

trekhleb/links-detector

By GitHub - 2020-12-07

📖 👆🏻 Links Detector makes printed links clickable via your smartphone camera. No need to type a link in, just scan and click on it. - trekhleb/links-detector

Python for Art — Blending Two Images using OpenCV

By Medium - 2020-12-06

Hands-on Intermediate Level Computer Vision Project

Semantic hand segmentation using Pytorch

By Medium - 2020-12-02

Semantic segmentation is the task of predicting the class of each pixel in an image. This problem is more difficult than object detection…

Multi-class object detection and bounding box regression with Keras, TensorFlow, and Deep Learning

By PyImageSearch - 2020-10-12

In this tutorial, you will learn how to train a custom multi-class object detector using bounding box regression with the Keras and TensorFlow deep learning libraries. Last week’s tutorial covered how ...

Histogram matching with OpenCV, scikit-image, and Python

By PyImageSearch - 2021-02-08

In this tutorial, you will learn how to perform histogram matching using OpenCV and scikit-image.