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This project is made by :
โ Advanced Models: We utilize YOLOv8, a state-of-the-art object detection algorithm, to ensure accurate detection results.
โ Flexible Input Options: Input data in various formats, including images, videos, or live webcam streams, to suit your requirements.
โ 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. โ Python: We have implemented our project using Python, leveraging its flexibility and rich ecosystem of libraries.
โ Streamlit: Our web application is built using Streamlit, a popular Python framework for building interactive web apps.
โ YOLOv8: We have chosen YOLOv8 as our object detection model for its state-of-the-art performance and accuracy.
โ OpenCV: OpenCV is used for image and video processing tasks, enhancing the capabilities of our platform. โ Datasets Used: