Animal identification method, system and device based on neural network, and storage medium

Abstract

The invention provides an animal identification method, system and device based on a neural network, and a storage medium, and the method comprises the steps: carrying out the animal classification ofan image through a trained animal classification network, obtaining the animal information of the image, and carrying out the image preprocessing; building a deep convolutional neural network, the deep convolutional neural network comprising a feature extraction network and a training network, and the feature extraction network comprising a target detection part for feature extraction and an image classification part for classified learning of global information and features; carrying out model training, initializing a feature extraction network by using the trained weight, extracting features of all pictures, dividing the extracted features into a training set and a verification set, and carrying out training on a network layer; and classifying the pictures, and outputting a classification result to obtain a classification label corresponding to the maximum probability. According to the invention, animal identification of more pictures can be realized, through prediction and judgmentof the model, the operation cost can be reduced, and subsequent arrangement and sorting of the pictures are facilitated.

Description

technical field [0001] The present invention relates to the field of picture recognition, in particular to a neural network-based animal recognition method, system, device and storage medium. Background technique [0002] With the development of the Internet and the times, people often use their mobile phones or cameras to take pictures of memorable scenery on the way of travel, and upload and share their own lives. As a result, the cloud photo library is getting bigger and bigger, and it also has photos from different people. , Various pictures at different times and places, accumulated over time, messy. If these massive pictures can be analyzed and applied, it can improve the user experience in all aspects, but it also requires a huge workload and is difficult to analyze manually. This relies on an automated mechanism to organize and analyze the uploaded pictures. Identify content and label it accordingly for subsequent application. Deep learning is a good means of solvi...

AI Technical Summary

Problems solved by technology

If these massive pictures can be analyzed and applied, it can improve the user experience in all aspects, but it also requires a huge workload and is difficult to analyze manually. This relies on an automated mechanism to organize and analyze the uploaded pictures. Identify content and label it accordingly for subsequent application

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