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The document presents a new dataset for food recognition, consisting of 1027 canteen trays with 3616 food instances across 73 classes, aimed at improving dietary monitoring applications. It discusses various classification strategies and features used in food recognition, achieving approximately 79% accuracy with convolutional neural networks. The dataset and benchmarking framework are publicly available for research purposes, addressing the need for effective food recognition in real-world canteen environm

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im5610969

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EN