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Generation method of training sample, and training method and device of deep learning model

A technology of training samples and deep learning, which is applied in biological neural network models, neural learning methods, character and pattern recognition, etc., and can solve problems that affect the effect of model use, limited quantity, and low accuracy of model training

Active Publication Date: 2022-06-28
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the limited number of training samples, the training accuracy of the model is low, which affects the use of the model

Method used

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  • Generation method of training sample, and training method and device of deep learning model
  • Generation method of training sample, and training method and device of deep learning model
  • Generation method of training sample, and training method and device of deep learning model

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Embodiment Construction

[0030] Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding and should be considered as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted from the following description for clarity and conciseness.

[0031] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the present disclosure. The terms "comprising", "comprising" and the like as used herein indicate the presence of stated features, steps, operations and / or components, but do not preclude the presence or addition of one or more other features,...

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Abstract

The invention provides a training sample generation method, a deep learning model training method, a target detection method, devices, equipment, a medium and a product, and relates to the technical field of artificial intelligence, in particular to the technical fields of deep learning, computer vision, image processing and the like. The training sample generation method comprises the steps that a first image and a second image are determined from an image set, the first image comprises at least one object, the at least one object comprises a target object, and the second image comprises a reference object; selecting a base image from the first image and the second image; determining a candidate object from the at least one object based on the base image, at least one of the base image and the candidate object including a target object; and taking the substrate image as a substrate of image fusion, fusing the image area where the candidate object is located and the image area where the reference object is located, and generating a sample image.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, in particular to the technical fields of deep learning, computer vision, and image processing, and more particularly, to a method for generating training samples, a method for training a deep learning model, a method for detecting objects, devices, and electronic equipment , media and program products. Background technique [0002] When training a deep learning model, a large number of training samples are usually required for model training. However, due to the limited number of training samples, the training accuracy of the model is low, which affects the use effect of the model. SUMMARY OF THE INVENTION [0003] The present disclosure provides a method for generating training samples, a method for training a deep learning model, a method for detecting objects, an apparatus, an electronic device, a storage medium and a program product. [0004] According to an aspec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/774G06V10/80G06V10/82G06N3/08G06K9/62
CPCG06N3/08G06F18/251G06F18/214Y02T10/40
Inventor 叶锦谭啸孙昊
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD