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zeyadtarek03/saudi-alpr-plate-detector

sourceHugging Faceapache-2.0updated 2mo agoView on Hugging Face

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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.

Model Details

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

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

Repository Contents

—best.pt — Fine-tuned model weights

Training

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

The training dataset is not included in this repository.

Usage

Load the model using the Ultralytics YOLO API:

python

from ultralytics import YOLO

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

Source Code

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

License

See the repository license for usage terms.