Training sample acquisition method and device, equipment and computer storage medium

A technology for training samples and obtaining units, which is applied in the field of Internet technology applications, can solve problems such as high labor costs, poor performance of image recognition algorithms, and long algorithm development cycles, and achieve the effect of reducing labor costs and simplifying the acquisition process

Active Publication Date: 2018-04-13
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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AI Technical Summary

Problems solved by technology

However, since the image data needs to cover all possible angles and postures of the object, and each image data needs to be manually calibrated, the algorithm development cycle is long and the labor cost is high.
In addition, failure to obtain enough training data will further lead to poor performance of image recognition algorithms

Method used

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  • Training sample acquisition method and device, equipment and computer storage medium
  • Training sample acquisition method and device, equipment and computer storage medium
  • Training sample acquisition method and device, equipment and computer storage medium

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Embodiment Construction

[0019] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0020] Terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. As used in the embodiments of the present invention and the appended claims, the singular forms "a", "said" and "the" are also intended to include the plural forms unless the context clearly indicates otherwise.

[0021] It should be understood that the term "and / or" used herein is only an association relationship describing associated objects, which means that there may be three relationships, for example, A and / or B, which may mean that A exists alone, and A and B exist simultaneously. B, there are three situations of B alone. In addition, the character " / " in this articl...

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Abstract

The invention provides a training sample acquisition method and device, equipment and a computer storage medium. The training sample acquisition method comprises the steps of acquiring a first pictureset of a labeled object; searching the first picture set by using a network search engine to obtain a second picture set; integrating the first picture set and the second picture set, enabling the object to serve as a labeling result corresponding to a picture set acquired by integration; and enabling the picture set acquired by integration and the labeling result to serve as training samples ofan image recognition model. by using the technical scheme provided by the invention, a lot of pictures are acquired through the network search engine to serve as training samples, thereby not relyingon the manpower to perform shooting and labeling, thus reducing the manpower cost, and simplifying the acquisition process of the training samples.

Description

【Technical field】 [0001] The present invention relates to the application of Internet technology, in particular to a method, device, equipment and computer storage medium for acquiring training samples. 【Background technique】 [0002] In the field of computer vision, the collection and calibration of image data is the earliest step in all image recognition algorithms. Therefore, the amount of image training data directly affects the quality of the entire image recognition algorithm. Under normal circumstances, researchers need to collect a large amount of image data in the early stage of image recognition algorithm development. In the existing technology, the positive and negative samples are generally collected manually, mainly after the user takes enough pictures of the object, and then performs manual calibration. However, since the image data needs to cover all possible angles and postures of the object, and each image data needs to be calibrated manually, the algorith...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F17/30
CPCG06F16/9535G06F18/214
Inventor 刘国翌李广
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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