Data set labeling method and system

A data set and quantity technology, applied in the field of recognition, can solve problems such as slow labeling speed, poor accuracy, and cumbersome work, and achieve the effects of saving labor costs, improving efficiency and accuracy, and reducing data volume

Pending Publication Date: 2020-09-11
上海铼锶信息技术有限公司
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Therefore, the work of manual labeling is cumbersome and repetitive, the

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  • Data set labeling method and system
  • Data set labeling method and system

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[0041] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the specific implementation manners of the present invention will be described below with reference to the accompanying drawings. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention, and those skilled in the art can obtain other accompanying drawings based on these drawings and obtain other implementations.

[0042] In order to make the drawing concise, each drawing only schematically shows the parts related to the present invention, and they do not represent the actual structure of the product. In addition, to make the drawings concise and easy to understand, in some drawings, only one of the components having the same structure or function is schematically shown, or only one of them is marked. Herein, "a" not only means "only one", but also means "more than one".

[0043] Such as f...

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Abstract

The invention discloses a data set labeling method, which comprises the following steps of: training a preset food material training set according to a MobileNet neural network, and constructing a food material recognition MobileNet initial model; according to the food material identification MobileNet initial model, carrying out food material identification on a plurality of dish pictures, and obtaining food material information in each dish picture; and according to the food material information, marking a classification label corresponding to each dish picture. The data set marking efficiency and accuracy are improved, and the workload of manual marking is greatly reduced.

Description

technical field [0001] The invention belongs to the technical field of identification, and in particular relates to a data set labeling method and system. Background technique [0002] In the field of recognition technology, it is usually necessary to label sample data first, and then use the labeled sample data to learn and train a neural network model to obtain a neural network model for recognition. [0003] In order to obtain labeled sample image data for learning and training, most of the existing methods use manual labeling to label the collected sample data. It is difficult to label the dataset used for ingredient recognition neural network training, because it is difficult to use a search engine to search for all the ingredients in a dish picture through keyword searches. For a neural network that recognizes 100 ingredients, about 1 million pictures of dishes are needed for training. If the ingredients are marked one by one on 1 million pictures of dishes, assuming...

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Application Information

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IPC IPC(8): G06K9/62G06F16/951G06F16/953G06F16/9535
CPCG06F18/241G06F18/214
Inventor 熊杰成
Owner 上海铼锶信息技术有限公司
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