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Data annotation method and device and computing equipment

A technology of data and labeling data, applied in the field of computer vision, can solve problems such as easy to cause missing marks, inaccurate marking positions, and heavy manual correction workload

Pending Publication Date: 2021-09-10
LIAONING MOBILE COMM +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, this data labeling method has the following disadvantages: it is easy to cause missing labels, inaccurate labeling positions, and heavy manual correction workload, etc.

Method used

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  • Data annotation method and device and computing equipment
  • Data annotation method and device and computing equipment
  • Data annotation method and device and computing equipment

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Embodiment Construction

[0029] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0030] figure 1 A flow chart of a data labeling method provided by one embodiment of the present invention is shown. The method is applied in a computing device. Such as figure 1 As shown, the method includes the following steps:

[0031] Step 110, acquiring data to be marked.

[0032] Wherein, the data to be labeled is data that needs to be labeled, and may be data of a picture, a video, or the like. For example, the data to be labeled is...

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Abstract

The embodiment of the invention relates to the technical field of computer vision, and discloses a data annotation method and device and computing equipment. The method comprises the following steps: acquiring to-be-labeled data; detecting the to-be-labeled data by using a plurality of detection models, and generating a plurality of detection results; obtaining the same detection target from the plurality of detection results; judging whether the same detection target can be determined as a recognition target or not; if yes, determining the position of the identification target according to the position information of the same detection target; and labeling the data to be labeled according to the position of the identification target. By means of the mode, the problems of missed marking and wrong marking can be effectively solved, and the accurate marking position can be obtained.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of computer vision, and in particular to a data labeling method, device and computing equipment. Background technique [0002] In the field of computer vision, object detection is the most widely used task of deep learning technology. Object detection refers to the recognition of one or more predefined categories of objects from an image and their location. Objects that need to be recognized in practical application scenarios cannot find corresponding labeled datasets on the Internet. The quality of model detection results largely depends on the quantity and quality of training samples. How to quickly and efficiently obtain a large number of labeled data sets and train updated models has become an urgent need. [0003] At present, the high-precision model is mainly used to pre-label the data, and then manual correction is performed, the marked data is used for model training, and...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/2414G06F18/214
Inventor 高东生王欣钱欣张淑娟
Owner LIAONING MOBILE COMM