Image recognition model training method and device, electronic equipment and storage medium

An image recognition and model technology, applied in the field of image recognition, can solve problems such as the need to improve the recognition effect, achieve the effect of reducing the false recognition rate and improving the recognition effect

Active Publication Date: 2021-07-13
智道网联科技(北京)有限公司
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] In the prior art, the recognition of the environment where the self-driving vehicle is located is mainl

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  • Image recognition model training method and device, electronic equipment and storage medium
  • Image recognition model training method and device, electronic equipment and storage medium
  • Image recognition model training method and device, electronic equipment and storage medium

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[0044] In order to make the objects, technical solutions, and advantages of the present application, the present application will be described in conjunction with the specific examples and corresponding drawings of the present application. Obviously, the described embodiments are merely the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without making creative labor premises, all of the present application protected.

[0045] The technical solutions provided in the present application are described in detail below with reference to the accompanying drawings.

[0046] The evaluation of the identification effect of the image recognition model in the prior art is mainly used as an evaluation basis, and the IOU is equivalent to the portion of the candidate frame area and the original markup area overlap. The result of the collection portion of th...

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Abstract

The invention discloses an image recognition model training method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an image recognition result of an image recognition model for a training image, wherein the image recognition result comprises the pixel information of a candidate image region; obtaining pixel information of a target image area of the training image, and determining a correct recognition pixel area and an error recognition pixel area in the candidate image area according to the pixel information of the target image area and the pixel information of the candidate image area; determining a loss function value of the image recognition model according to the correct recognition pixel region and the error recognition pixel region; and updating parameters of the image recognition model through the loss function value of the image recognition model. According to the training method of the image recognition model, when the loss function value is utilized to update the model parameters, the influence of a misrecognition part on model training is considered, the misrecognition rate of the trained image recognition model is reduced, and the recognition effect is improved.

Description

technical field [0001] The present application relates to the technical field of image recognition, and in particular to a training method, device, electronic equipment, and storage medium for an image recognition model. Background technique [0002] Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. [0003] As an important application of artificial intelligence, autonomous driving technology has been greatly developed in recent years. The goal of autonomous driving is to enable the vehicle to travel along the road autonomously in an unmanned state, to ensure the safety of the vehicle while reaching the destination as soon as possible, and to ensure that it does not cause direct or indirect threats to the safety of other traffic par...

Claims

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Application Information

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IPC IPC(8): G06K9/20G06K9/62
CPCG06V10/22G06F18/241
Inventor 贾双成李晓宵朱磊李宁
Owner 智道网联科技(北京)有限公司
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