image based food detection
DESCRIPTION
Food detection, classification, and analysis have been 1he topic of indepthstudies for a variety of applications related to eating habits and dietaryassessment. For the specific topic of calorie measurement of food portions withsingle and mixed food items, the research community is lacking a dataset ofimages for testing and training. For this putpose we introduce FooDD: a FoodDetection Dataset of 3000 images. The images offer variety of food photos takenfrom different cameras with different illuminations. In this paper, we also provideexamples from our experimental results on food detection using graph cutsegmentation and deep learning algorithms. Our findings show that our datasetcan aid further research on different types of food recognition and learningalgorithmsTRANSCRIPT
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