saudi-alpr-plate-detector

ALPR Plate Detection Model

Overview

This repository contains a fine-tuned YOLO-based model for detecting Saudi vehicle license plates as part of a complete Automatic License Plate Recognition (ALPR) pipeline.

The model is designed to accurately localize license plates in images before they are passed to the OCR stage for character recognition.

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Model Details

• Task: License Plate Detection
• Framework: Ultralytics YOLO (PyTorch)
• Input: RGB image
• Output: Bounding box coordinates of detected license plates

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Intended Use

This model is intended for:

• Automatic License Plate Recognition (ALPR)
• Smart Parking Systems
• Traffic Monitoring
• Access Control Systems
• Computer Vision Research
• Educational Purposes

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Repository Contents

• best.pt — Fine-tuned model weights

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Training

This model was fine-tuned specifically for Saudi license plate detection.

The training dataset is not included in this repository.

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Usage

Load the model using the Ultralytics YOLO API:

from ultralytics import YOLO

model = YOLO("best.pt")
results = model("image.jpg")

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Source Code

The complete ALPR pipeline, including preprocessing, OCR integration, visualization, and application logic, is available in the corresponding GitHub repository.

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License

See the repository license for usage terms.