Image identification method and device, computer equipment and storage medium

Abstract

The invention puts forward an image identification method and device, computer equipment and a storage medium. The method comprises the following steps that: obtaining an image to be identified, and adopting a trained first convolutional neural network model to carry out image identification on the image to be identified to determine an object displayed in the image to be identified, wherein the first convolutional neural network model comprises a first path of convolutional neural network used for extracting the global characteristics of the image, and a second path of convolutional neural network used for extracting the local characteristics of the image. Through the trained first convolutional neural network model, the image to be identified is identified, image identification accuracyis improved, and the problem in the prior art that image identification carries out extraction by artificially designed features and image identification accuracy is low is solved.

Description

technical field [0001] The present application relates to the technical field of image recognition, and in particular to an image recognition method, device, computer equipment and storage medium. Background technique [0002] With the vigorous development of the Internet of Things and artificial intelligence technology, the tide of intelligence has swept the entire home appliance industry. From smart phones, smart TVs, to today's smart refrigerators, smart air conditioners, etc., intelligence is becoming the dominant force that affects and changes people's lives. Smartphones are an important part of smart homes, through which we can realize intelligent food management, remote control, voice messages, and even Internet entertainment. In intelligent food management, its core technology is food identification technology. [0003] In related technologies, food identification methods currently mainly include manual entry, barcode scanning, and image recognition. Among them, ma...

AI Technical Summary

Problems solved by technology

Among them, manual input and addition operations are cumbersome, while barcode scanning involves the design of food electronic labels, antennas, and card readers, and the design cycle is long. At the same time, it is also necessary to manually paste electronic labels in advance, and the operation is also cumbersome

However, the traditional image recognition method mainly uses artificially designed features for feature extraction, which has poor recognition robustness and low recognition accuracy for a large number of different objects.

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