Coder Social home page Coder Social logo

sqmah / yolov3-plate-detection Goto Github PK

View Code? Open in Web Editor NEW
15.0 2.0 4.0 25.18 MB

A Python/TensorFlow implementation of YOLOv3 for license plate detection

License: GNU General Public License v3.0

Python 100.00%
computer-vision python tensorflow alpr yolov3

yolov3-plate-detection's Introduction

YOLOv3 for Automatic License Plate Recognition (ALPR)

This is an implementation of YunYang1994's excellent TensorFlow implementation of YOLOv3, found here, with specific utilities and modifications for dealing with detecting the location of license plates in images.

This was tested on a dataset of approximately 400 images of Hong Kong license plates, with transfer learning with a pretrained model trained on the COCO dataset, and 95% of the bounding boxes were correct, even with a confidence cut-off of 20%.

It works pretty well in low light AND with skewed license plates too:

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.