YOLOv8-based model for Egyptian coin detection and classification. Dataset, model weights, and training details included for object detection and recognition tasks.
Welcome to CoinDetector, a state-of-the-art computer vision model designed for detecting and classifying Egyptian coins. This repository contains everything you need to get started with object detection and recognition tasks using our YOLOv8-based model.
- The dataset used for training and testing the model can be found in the DataSetDrive_link.txt file.
- The YOLOv8 model and weights are available in the Model directory.
- Details about the training process and configuration can be found in the train2 directory.
- Various results, including confusion matrices and images, are available in the train2 directory.
