This project optimizes the CIFAR-10 dataset for improved model performance through data exploration, augmentation, and training a CNN. It includes data loading, preprocessing, exploratory data analysis (EDA), and model training in a streamlined pipeline, showcasing the importance of data preparation in achieving better classification accuracy.