Food classification is a challenging problem due to the large number of food categories, since the visual similarity between different food categories is high. The goal is to build a model to predict the fine-grained food-category label given an image. This dataset contains 80 food categories indicated with a number.
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Re-training the deep neural network DenseNet using various learning rate strategies. Entry for the Food Recognition Challenge for the Master's course Applied Machine Learning.