Deep Learning / Computer Vision
Food Image Classification System
A deep learning-based food image classification project using CNN models to classify food images and support food recognition research.
Project Details
This project focuses on food image classification using deep learning and computer vision techniques. It was developed as part of my academic research interest in food safety and AI-based food recognition.
The work involved studying CNN-based architectures, preparing image datasets, training classification models, evaluating performance, and comparing results. The project helped me understand how deep learning models can be used for practical visual recognition tasks, especially in food-related applications.
This project connects directly with my MPhil research, where I explored deep learning techniques for evaluating food safety and food image classification. It demonstrates my ability to work with image datasets, model training, classification workflows, and research-based technical evaluation.