Alex Dubranov

Project Details

Utilizing a comprehensive dataset comprising over 100,000 food images, this project delves into the robust functionalities of PyTorch and Convolutional Neural Networks, employing EfficientNetB0, B1, and B2 architectures optimized on ImageNet. The initial phase targets the development of a streamlined model capable of categorizing three distinct food groups: Sushi, Pizza, and Steak, serving as a foundation for evaluating various computational strategies - NutriVisionAI Mini. The overarching objective is the creation of a sophisticated model for the 'NutriVision' application, designed to accurately classify an extensive array of food items.NutriVisionAI Link