BiDAlab/AI4Food-NutritionDB
This GitHub repository contains instructions for downloading and utilizing the AI4Food-NutritionDB food image database, as well as different food recognition systems based on Xception and EfficientNetV2 architectures.
This project provides a comprehensive database of food images linked to detailed nutritional information and pre-trained AI models. It helps researchers and nutrition experts accurately identify different food items from images, categorizing them into various levels, from broad groups like 'Meat' to specific products like 'Chicken'. You can feed food images into the system and receive nutritional categorization.
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Use this if you are a researcher or expert in nutrition and dietetics needing to analyze food intake, categorize food items from images, or develop personalized nutrition solutions.
Not ideal if you are looking for a ready-to-use mobile app for personal diet tracking, as this project provides raw data and models for research and development.
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Python
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Last pushed
Jun 19, 2025
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