The idea of a model that can accurately identify food from images has always fascinated me. With the advancement of machine learning, I set out to create FoodVision Big, a model capable of distinguishing between 101 different dishes.
Throughout the development process, I encountered various challenges, from data collection to model training. Each step required careful consideration of the unique characteristics of each dish to ensure accurate recognition.
In this article, I will detail the techniques I employed, the obstacles I faced, and the ultimate success of creating a model that not only understands food but also appreciates the diversity of culinary art.