Optical Character Recognition on Plate Number

Introduction

This project made for Satria Data 2023 elimination round. The goal is to make a program that can recognize plate number from an image.

This project reformatted using Black. The project was trained using Kaggle's with T4 x2 GPU. We wouldn't recommend to run this project on your local machine because it will take a lot of time and resources.

We got 97.33 score accuracy on leaderboard and finished on 33rd place.

Project Structure

.
├── data
│   ├── test_data
│   │   ├── *.png
│   │   └── DataTest.csv
│   └── train_data
│       ├── *.png
│       └── DataTrain.csv
├── Resources
│   └── Juknis Satria Data 2023.pdf
├── src
│   ├── playground
│   │   └── *.ipynb
│   ├── csvpreprocess.ipynb
│   ├── prediction.ipynb
│   └── preprocess.ipynb
├── .gitignore
├── LICENSE
└── README.md

• data folder contains the dataset for training and testing.
• Resources folder contains the rules for this project.
• src folder contains the source code for this project.
• src/playground folder contains the source code for testing the model.
• src/csvpreprocess.ipynb is the source code for preprocessing the dataset.
• src/prediction.ipynb is the source code for predicting the dataset.
• src/preprocess.ipynb is the source code for preprocessing the image.

Contributors

• Helmy LuqmanulHakim
• Naufal Farras Pratama
• Rizal Hidayatulloh

License

MIT