DCNN-based food image recognition method and system and food calorie calculation method
A recognition method and food technology, applied in the field of image recognition, can solve the problems of inaccurate food image classification, slow speed, low accuracy rate, etc.
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[0062] In one embodiment of the present invention, a deep convolutional neural network (DCNN) is used to recognize food images. Since the recognition of food images is a fine-grained visual recognition, it is a relatively difficult problem compared with traditional image recognition. In order to solve this problem, this embodiment recognizes the types of food images based on the DCNN deep convolutional neural network, and this method can accurately identify food images; moreover, the food image method based on the DCNN deep neural network is very suitable for large-scale images Data, this is because it only takes 0.03 seconds to classify a food photo using GPU (Graphics Processing Unit, image processor), so the recognition efficiency is very high.
[0063] figure 1 is a schematic flowchart of a DCNN-based food image recognition method according to an embodiment of the present application. see figure 1 As known, the DCNN-based food image recognition method provided by the em...
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