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Data annotation system

A data and database technology, applied in the field of data labeling, can solve the problems of poor quality and low efficiency of labeling data acquisition, and achieve the effect of simple and quick labeling of data, and easy installation and deployment.

Active Publication Date: 2021-09-17
深圳市信润富联数字科技有限公司
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Problems solved by technology

[0003] In order to solve the technical problems of low efficiency and poor quality of labeling data acquisition, an embodiment of the present invention provides a data labeling system

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Embodiment Construction

[0032] The present invention will be further described in detail with reference to the accompanying drawings and embodiments.

[0033] The most common labeling task in computer vision deep learning is image data labeling. At present, there are three main ways to complete the labeling work in enterprises, namely: internal data labeling teams built by enterprises, cooperation with outsourcing companies, and data crowdsourcing platforms.

[0034] At present, there are two main technical solutions for data labeling in enterprises:

[0035] A data labeling software that provides a graphical interface represented by Labelme, which can label images in the form of polygons, rectangles, circles, multi-line segments, line segments, and points, and can satisfy most images used in computer vision scenes Data annotation tasks, which can be used for target detection, image segmentation and other tasks. When performing data labeling, the administrator first distributes the processed origina...

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Abstract

The invention discloses a data annotation system. The data annotation system comprises: a data management module which is used for importing original image data, distributing the original image data to at least one account with data preprocessing authority and storing the image data after data preprocessing, wherein the data preprocessing comprises image clipping, image classification and image filtering; an annotation management module which is used for distributing the image data subjected to data preprocessing to at least one account with data annotation authority and storing the image data subjected to data annotation; and a statistical analysis module which is used for counting the processing progress of the account and providing a statistical result. The data labeling system provided by the invention is easy to install and deploy, a user can conveniently, simply and quickly label data, uniform data management can be carried out, a statistical service can be provided, and an output result can be directly used for a model training process.

Description

technical field [0001] The invention relates to the technical field of data labeling, in particular to a data labeling system. Background technique [0002] In recent years, with the rapid development of artificial intelligence neural network algorithms, the related applications of computer vision technology have also been greatly promoted. For example, automatic driving of cars, face recognition, image classification, object detection, etc., especially technologies such as face recognition and object detection have been widely used. At present, computer vision is one of the most popular research fields in the field of deep learning. The training of neural network models in the field of deep learning requires a large amount of labeled data. The development support of a typical application scenario of computer vision requires tens of thousands or even hundreds of thousands of sheets. With the wide application of computer vision in different fields and scenarios, there is a l...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/60G06F21/62G06K9/62
CPCG06F21/604G06F21/6218G06F2221/2141G06F18/40
Inventor 许震洲熊海飞黄雪峰李飞于洋陈彪钱程浩潘绍华
Owner 深圳市信润富联数字科技有限公司
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