# automatic-number-plate-recognition-python-yolov8

**Repository Path**: pyxstudy/automatic-number-plate-recognition-python-yolov8

## Basic Information

- **Project Name**: automatic-number-plate-recognition-python-yolov8
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: AGPL-3.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-09-18
- **Last Updated**: 2024-09-18

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# automatic-number-plate-recognition-python-yolov8

<p align="center">
<a href="https://www.youtube.com/watch?v=fyJB1t0o0ms">
    <img width="600" src="https://utils-computervisiondeveloper.s3.amazonaws.com/thumbnails/with_play_button/anpr_yolo2.jpg" alt="Watch the video">
    </br>Watch on YouTube: Automatic number plate recognition with Python, Yolov8 and EasyOCR !
</a>
</p>

## data

The video I used in this tutorial can be downloaded [here](https://www.pexels.com/video/traffic-flow-in-the-highway-2103099/).

## models

A Yolov8 pretrained model was used to detect vehicles.

A licensed plate detector was used to detect license plates. The model was trained with Yolov8 using [this dataset](https://universe.roboflow.com/roboflow-universe-projects/license-plate-recognition-rxg4e/dataset/4) and following this [step by step tutorial on how to train an object detector with Yolov8 on your custom data](https://github.com/computervisioneng/train-yolov8-custom-dataset-step-by-step-guide). 

The trained model is available in my [Patreon](https://www.patreon.com/ComputerVisionEngineer).

## dependencies

The sort module needs to be downloaded from [this repository](https://github.com/abewley/sort) as mentioned in the [video](https://youtu.be/fyJB1t0o0ms?t=1120).