Dish and attribute information identification system and method based on fine-grained identification

A technology of attribute information and recognition methods, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve the problems of inaccurate recognition results, poor robustness of dish recognition, weak scalability of new dishes, etc. rate effect

Active Publication Date: 2020-12-22
XI AN JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

Excessive reliance on the types of dishes preset by the model, while ignoring the information of the ingredients of the dishes and the correspondence between the information of the ingredients and the dishes, has weak scalability for new dishes, and the robustness of dish recognit

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  • Dish and attribute information identification system and method based on fine-grained identification
  • Dish and attribute information identification system and method based on fine-grained identification
  • Dish and attribute information identification system and method based on fine-grained identification

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Embodiment Construction

[0055] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0056] see figure 1 As shown, the present invention provides a method for identifying dishes and attribute information based on fine-grained identification, which specifically includes the following steps:

[0057] Step 1: Obtain the existing public dish image data, mark its dish attribute labels, form a learning sample set, and establish a dish database.

[0058] In this example, on the basis of the existing public dish data pictures, its attribute information is marked and used to train the deep neural network classification and recognition device. Specifically based on the pictures in the public data set VIERO Food-172 of the existing research and the pictures of dish...

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Abstract

The invention discloses a dish and attribute information identification system and method based on fine-grained identification. The method comprises the following steps: preprocessing a dish image tobe identified; inputting the preprocessed image into a pre-trained deep neural network dish classification and attribute recognizer for recognition, and outputting the category attribute information of dishes; and matching the obtained category attribute information of the dishes with a pre-established dish database, and outputting an identification result. According to the invention, the relatedattribute information except for the varieties of vegetables is expanded, the existing identification accuracy is improved, and better systematic services are provided for the work of healthy diet recommendation, autonomous cooking, nutrition intake management and the like of people.

Description

technical field [0001] The invention belongs to the technical field of computer digital image processing and pattern recognition, and in particular relates to a vegetable type and attribute recognition system and method. Background technique [0002] With the improvement of people's living standards, it is very urgent for people to improve the material quality of life related to dishes, and a good dish identification method and system is the basis for realizing healthy meal recommendations, independent cooking, nutrient intake management, and self-service settlement in restaurants and cafeterias. Base. [0003] Fine-grained dish recognition is to identify the category and attribute information of hundreds of different kinds of dishes. The current fine-grained dish image recognition method is mainly based on the overall appearance information of the dish, extracting features through a convolutional neural network, and then performing classification and recognition tasks. Ex...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/214
Inventor 钱学明刘成旭
Owner XI AN JIAOTONG UNIV
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