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Personalized Food Image Classification: Benchmark Datasets and New Baseline
Personalized food classification aims to address this problem by training a deep neural network using food images that reflect the consumption pattern of each individual.
Simulating Personal Food Consumption Patterns using a Modified Markov Chain
Food image classification serves as the foundation of image-based dietary assessment to predict food categories.
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