Food Recognition System Using CNN and Inception V3 for Diverse Culinary Dishes

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This presentation explores food recognition through cutting-edge models like CNN and Inception V3, emphasizing their importance in culinary arts and educational applications. It provides a detailed comparison, including testing on Food-101 without data augmentation. Inception V3 shows superior performance with an impressive 95.6% accuracy and excellent generalization. We discuss the advantages of transfer learning in fine-grained classification linked to USDA metadata, offering valuable...