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UNICT-FD889 dataset is a food dataset composed by 889 distinct plates of food. Each dish has been acquired with a smartphone multiple times to introduce photometric (e.g., flash vs no flash) and geometric variability (rotation, scale, point of view changes). The overall dataset contains 3583 images acquired with smartphones. The dataset is designed to push research in this application domain with the aim of finding a good way to represent food images for recognition purposes.