Image recognition method and device

An image recognition and image technology, which is applied in the field of recognition and detection, can solve the problems of the difference in category distribution and the reduction of the accuracy of image recognition, and achieve the effect of improving the accuracy

Active Publication Date: 2018-02-13
CLOUDMINDS SHANGHAI ROBOTICS CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] This application discloses an image recognition method and device, which mainly solves the problem in the prior art that the accurac...

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Embodiment Construction

[0019] The system architecture and business scenarios described in this application are to illustrate the technical solution of this application more clearly, and do not constitute a limitation to the technical solution provided by this application. Those of ordinary skill in the art know that with the evolution of system architecture and new business The technical solution provided by this application is also applicable to similar technical problems when the scene arises.

[0020] It should be noted that, in this application, words such as "exemplary" or "for example" are used as examples, illustrations or illustrations. Any embodiment or design described herein as "exemplary" or "for example" is not to be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete manner.

[0021] It should be noted that in this application, "的(English: of)", "corres...

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Abstract

The invention discloses an image recognition method and a device, which relate to the technical field of detection and recognition. In order to solve the problem in the prior art that the accuracy ofimage recognition decreases when the distribution of the training set and the test set differs greatly, the image recognition method includes: acquiring a sample image (101); determining a priori probability distribution (102) of each category image occurring in a current scene; and recognizing the sample image according to a priori probability distribution to obtain a recognition result (103). The method is applied in the process of image recognition.

Description

technical field [0001] The present application relates to the technical field of detection and recognition, and in particular to an image recognition method and device. Background technique [0002] With the development of image recognition technology, the deep convolutional neural network (English: Convolutional Neural Network, CNN) algorithm has gradually become the mainstream algorithm in the research and application of image recognition such as image classification and object detection. [0003] Taking image classification as an example, before the test process, it is often necessary to carry out deep neural network training for the existing image classification model, and optimize the solution on the training set (English: training set) to minimize the global loss (English: loss) . Later in the test process, the soft maximization layer (English: softmax layer), which is the output layer of the deep convolutional neural network, will assign a confidence level to each ca...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04
CPCG06N3/045G06F18/2415
Inventor 柴伦绍
Owner CLOUDMINDS SHANGHAI ROBOTICS CO LTD
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