A Comprehensive Study on Image Classification Using Deep Learning Techniques

Abstract

In recent years, the field of computer vision has witnessed significant advancements, particularly in image classification, owing to the remarkable progress in deep learning techniques. This research paper presents a comprehensive study on image classification using CNN deep learning models, exploring the evolution of methodologies, state-of-the-art architectures, challenges, and potential applications. The primary objective is to analyse the effectiveness of deep learning in image classification tasks and provide insights into the current trends and future directions in this rapidly evolving domain.