Unlock instant, AI-driven research and patent intelligence for your innovation.

Character recognition model training method, device and equipment

A character recognition and model training technology, applied in the field of character recognition model training, can solve the problems of low model training efficiency and labeling efficiency, and achieve the effect of reducing workload and cost and improving efficiency

Pending Publication Date: 2021-01-19
SHANGHAI GOLDWAY INTELLIGENT TRANSPORTATION SYST CO LTD
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the above method, since model training requires a large number of samples, and there may be a large number of characters in each image, there are many labels that need to be manually marked, and the labeling efficiency is too low, resulting in low model training efficiency

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Character recognition model training method, device and equipment
  • Character recognition model training method, device and equipment
  • Character recognition model training method, device and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0069] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0070] The terminology used in the present invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used herein and in the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as use...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a character recognition model training method, apparatus and device. The method comprises the steps of selecting an unlabeled image from an image sample set, wherein the image sample set comprises labeled images and unlabeled images; inputting the selected unlabeled images into a character recognition model to obtain a predicted character recognition result of each unlabeledimage input into the character recognition model, wherein the character recognition model is obtained by training according to labeled images in the image sample set; for each unlabeled image input to the character recognition model, labeling the unlabeled image in the image sample set according to a prediction character recognition result of the unlabeled image to obtain a labeled image; training a target character recognition model according to the marked images in the image sample set and the character recognition model. The annotation efficiency can be improved, and then the model training efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of machine vision, in particular to a character recognition model training method, device and equipment. Background technique [0002] With the development of science and technology, deep learning algorithms perform well in tasks such as classification, detection, and identification. In character recognition technology, an image is input into a trained character recognition model to recognize characters in the image through the character recognition model. The premise of realizing this technology is that a character recognition model needs to be trained with a large number of samples. [0003] In the existing character recognition model training method, after collecting a large number of images, it is necessary to manually label each character in the image one by one, and then use all the labeled images to train the required character recognition model. [0004] In the above method, since model training re...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/214
Inventor 徐博
Owner SHANGHAI GOLDWAY INTELLIGENT TRANSPORTATION SYST CO LTD