Estimate how much labeled data is needed for a food-delivery menu classification model

Focus on breaking down the problem into manageable components. Start by defining the types of food categories you expect in the menu (e.g., appetizers, main courses, desserts, etc.) and consider the variety within each category. Think about the model's accuracy requirements and how many examples per category would be necessary to achieve that—typically, more complex categories will require more data. Additionally, consider factors such as the diversity of menus across different regions and the potential for overlapping categories. Finally, provide a rough estimate based on your analysis and justify your reasoning with any assumptions made.