moshabann/yolov5-alpr-egypt

🚗 Egyptian License Plate Detection (YOLOv5)

📌 Model Overview

This YOLOv5 checkpoint has been fine-tuned on localized vehicle imagery for high-precision License Plate Detection (ALPR) across Egyptian roads, gates, and parking checkpoints.

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⚡ Quick Start with PyTorch Hub

import torch
from huggingface_hub import hf_hub_download

# 1. Download weights from Hugging Face Hub
model_path = hf_hub_download(repo_id="moshabann/yolov5-alpr-egypt", filename="detection_best.pt")

# 2. Load custom YOLOv5 model
model = torch.hub.load('ultralytics/yolov5', 'custom', path=model_path)

# 3. Perform inference
results = model('car_sample.jpg')

# 4. View results
results.print()
results.show()

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🚀 Complete OCR Pipeline

For complete alphanumeric text extraction and 14-digit National ID decoding:

pip install robovai-ocr

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👨‍💻 Maintainer

• Engineer: Mohamed Shaban Ibrahim
• GitHub: @m0shaban
• PyPI: msalatmani
• Website: msalatmani.org