Image recognition model training method and device, image recognition method and device, and electronic equipment

A technology of image recognition and model training, applied in the computer field, can solve the problems of low efficiency of manual labeling
CN111476284APending Publication Date: 2020-07-31杭州网易智企科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
杭州网易智企科技有限公司
Publication Date
2020-07-31

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Abstract

The invention discloses an image recognition model training method and device, an image recognition method and device, electronic equipment and a storage medium. A large number of marked training samples can be quickly generated, the training cost is reduced, and the training efficiency is improved. The image recognition model training method comprises the steps: extracting a mapping template containing an identifier from a first image containing the identifier; adding the mapping template into the plurality of second images to obtain a plurality of sample images; taking the sample image and alabeling label corresponding to the sample image as training samples and adding the training samples into a training sample set, wherein the labeling label is determined based on an identifier category to which an identifier contained in a mapping template in the sample image belongs; and training an image recognition model based on the training sample set to obtain an image recognition model capable of recognizing the identifier category to which the identifier contained in the image belongs.
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Description

technical field

[0001] The present application relates to the field of computer technology, in particular to an image recognition model training and image recognition method, device, and electronic equipment. Background technique

[0002] This section is intended to provide a background or context to the implementations of the application that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section.

[0003] Existing methods for training image recognition models usually include manually labeling the objects contained in the images, and using the labeled images as training samples to train the image recognition model. However, when the number of objects to be recognized increases to thousands or tens of thousands, the efficiency of manual labeling is extremely low. Contents of the invention

[0004] In view of the above technical problems, an improved method is very much needed, which can quickly generate a large nu...

Claims

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