MohammadarefAhmadpoor/Rice-image-classification

This project implements a CNN model using TensorFlow and PyTorch to classify images of five rice varieties, achieving 98% and 99% accuracy. The models are trained and evaluated on the Rice Image Dataset, with images preprocessed and divided into training, validation, and test sets.

Jupyter Notebook