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🚗 Vehicle Number Plate Detection using TensorFlow and OpenCV

This project demonstrates a simple Vehicle Number Plate detection pipeline using TensorFlow and OpenCV. The workflow includes annotation conversion, model training, and object detection on new images.

Objectives:

  1. To detect the number plate i.e area of interest from vehicle image.
  2. Extract the number plate.
  3. Apply Optical Character Recognition on extracted number plate.

📦 Requirements

Install the required Python libraries:

pip install -r requirements.txt

Download Our UWIR Model

Download model

Block Diagram :

image

image

Dataset:

  1. Input Data: i)Images of vehicle ii)Annotation in xml file

  2. XML - i)Image size ii)Number Plate Coordinates

Inception-resnet-v2

image

outputs :

image

image

About

This project demonstrates a simple Vehicle Number Plate detection pipeline using TensorFlow and OpenCV. The workflow includes annotation conversion, model training, and object detection on new images.

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