Bird image recognition system and method based on big data training

Abstract

The invention discloses a bird image recognition system and method based on big data training, and the system comprises an information processing module, a mobile terminal, an image database, a coarseimage data set, a candidate image set, and a model training module; the mobile terminal is connected with the information processing module, the coarse image data set is connected with the information processing module, the candidate image set is connected with the coarse image data set, the image database is connected with the candidate image set, and the model training module is connected withthe image database and the information processing module. The invention relates to the technical field of image recognition, and particularly provides a bird image recognition system and method basedon big data training, which establish a more accurate recognition model for bird image recognition by using a deep convolutional neural network. Compared with a traditional machine learning method, the deep convolutional network recognition model based on bird image features has the advantages that high-dimensional bird image features can be automatically extracted, and automatic learning of the bird image features is realized.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a bird image recognition system and method based on big data training. Background technique [0002] The development and application of machine learning technology and artificial intelligence technology (deep learning technology) has promoted the development of bird automatic identification technology. The combination of traditional machine learning technology with bird sound features and image features is an early bird automatic recognition technology. [0003] Bird sounds are an important biological signal to distinguish different bird species. Using bird voice data as classification features, combined with different machine learning methods, can identify bird species to a certain extent. Bird images include bird shape, color, texture, invariant geometric properties, etc. These features can be used as visual indicators to distinguish the differences of bird species ...

AI Technical Summary

Problems solved by technology

Based on this, research reports on the fusion of image processing technology (image features) and traditional machine learning technology have been born; however, due to the limited image quality of birds, the overall model recognition accuracy is not high

[0004] Currently available technologies for automatic bird recognition include traditional machine learning methods based on bird image features; traditionally, the extraction of image features is done by constructing different types of local feature extractors in the form of manual preprocessing, local feature extraction The appropriateness of algorithm selection directly affects the results of image classification. On the whole, the dependence of the selection of local image feature extraction algorithms on prior knowledge and the non-automatic learning of image features limit the application of traditional bird image recognition technology.

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