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Vehicles Logos & License Plates Detection using Yolo, Streamlit, OpenCV

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🚘 Vehicle Logo & License Plate Detection

Classes

👋 About This Project and Authors

Welcome to our Vehicle Logo and License Plate Detection project! Our goal is to simplify the task of recognizing vehicle logos and Moroccan license plates using cutting-edge AI technology.
If you like the repo, please feel free to give it a ⭐ (top right).

This project is made by :
  • El-Ouaragli Zayd
  • El-Abbass Ossama
  • Nassiri Mosab
  • Hassan Fares
  • Aly Guinga
  • 🌟 Features

    ● User-friendly Interface: Our platform provides an intuitive interface for easy navigation and interaction.

    ● Advanced Models: We utilize YOLOv8, a state-of-the-art object detection algorithm, to ensure accurate detection results.

    ● Flexible Input Options: Input data in various formats, including images, videos, or live webcam streams, to suit your requirements.

    ● Extensive Class Recognition: Explore our app to discover the extensive list of classes our models can identify, ranging from popular vehicle logos to Moroccan license plate specific designs.

    Classes

    🛠️ Technologies Used

    ● Python: We have implemented our project using Python, leveraging its flexibility and rich ecosystem of libraries.

    ● Streamlit: Our web application uses Streamlit, a popular Python framework for building interactive web apps.

    ● YOLOv8: We have chosen YOLOv8 as our object detection model for its state-of-the-art performance and accuracy.

    ● OpenCV: OpenCV is used for image and video processing tasks, enhancing the capabilities of our platform.

    📂 Ressources

    ● Datasets Used:

  • Logos Dataset
  • Plates Dataset