Using Computer Vision to Understand Food and Cuisines

Exploring global cuisines offers insight into diverse cultures through their unique dishes, and image classification, a task in computer vision, can enhance this exploration by identifying foods and providing cultural context. By employing a model from the Roboflow Universe and deploying it in a Streamlit application, users can upload images of food to receive information about the dish's name and origin, fostering cultural appreciation and education. This approach not only strengthens community bonds and supports local economies through culinary tourism but also bridges cultural gaps, promoting global unity. The application utilizes a pre-trained food image classification model, enabling users to identify and learn about various Vietnamese and Korean foods, and serves as a testament to the potential of AI in transforming our culinary experiences by improving food quality checks and enriching our understanding of global cuisines.