Food-Recipe-CNN
A deep learning system that classifies food images into 230 categories and retrieves matching recipes using convolutional neural networks.
What is Food-Recipe-CNN?
Food-Recipe-CNN is a deep learning system that uses convolutional neural networks to classify food images into 230 categories and retrieve matching recipes. It solves the problem of automated food recognition where visually similar dishes from different categories overlap, by combining CNN-based classification with nearest-neighbor search. The system processes over 400,000 food images and 300,000 recipes to provide accurate recipe suggestions.
Developers and researchers working on computer vision, deep learning, or food recognition projects, as well as those interested in building applications that link images to textual data like recipes.
It offers a novel method that combines CNN classification with nearest-neighbor search to improve recipe retrieval accuracy, using the largest German-language recipe dataset available and dynamically determined categories via semantic analysis.
Overview
food image to recipe with deep convolutional neural networks.
Use Cases
Best For
- Building food image recognition systems for recipe apps
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