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Method and apparatus for labeling image data

An image data and histogram technology, applied in the field of image recognition, can solve problems such as poor accuracy and low efficiency, and achieve the effect of solving poor accuracy and accurate automatic labeling

Pending Publication Date: 2018-12-11
杭州吉吉知识产权运营有限公司
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AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a method and device for labeling image data to solve the technical problems of poor accuracy and low efficiency in the existing data labeling methods, so as to achieve efficient and accurate automatic labeling of a large amount of image data technical effect

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  • Method and apparatus for labeling image data

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Embodiment Construction

[0055] In order to enable those skilled in the art to better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described The embodiments are only some of the embodiments of the present application, but not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0056] Considering that the existing image data labeling methods are often based on the experience and understanding of the image content of the technicians, manually labeling the sample image data for learning and training requires the technicians to frame by frame Find and mark the position, length, width, center point, etc. of the target...

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Abstract

Embodiments of the present application provide a method and an apparatus for labeling image data, wherein the method comprises the following steps: obtaining image data to be labeled; determining a target region in the image data to be labeled by using a preset detection network model, and marking a position of the target region; using the preset classification network model to recognize the imagedata at the position of the target area, and labeling the recognition result. The pre-trained detection network model is adopted to find and label the target area, and then the classification networkmodel trained in advance is used to identify and label whether the image data in the target area is the target object or not, thus solving the technical problems of poor accuracy and low efficiency in the existing data labeling methods, and achieving the technical effect of automatically labeling a large amount of image data efficiently and accurately.

Description

technical field [0001] The present application relates to the technical field of image recognition, in particular to a method and device for labeling image data. Background technique [0002] In the field of image recognition, it is usually necessary to label the sample image data first, and then use the labeled sample image data to learn and train the neural network model to obtain a neural network model for image recognition. [0003] In order to obtain labeled sample image data for learning and training, most of the existing methods label the collected sample data by manual labeling. Specifically, relying on their own experience and understanding of the image content, the technicians frame the target objects in the image one by one and make corresponding annotations. It can be seen from the above that the existing image data labeling methods need to rely on the technical personnel's personal experience and understanding of the image content during the implementation proc...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06T7/187G06N3/08
CPCG06N3/08G06T7/187G06T2207/30201G06V40/16
Inventor 罗培元
Owner 杭州吉吉知识产权运营有限公司
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