Publication Date: 2023/09/14
Abstract: Convolution neural networks are a particular kind of neural network that deals with the applications involving image processing and visual representation. Feature extraction and classification based on those characteristics, such as image recognition and object detection, are some of CNN's best uses. These days, there is a serious problem with bird behaviour and population patterns. Birds' quick responses to ecological changes enable humans to recognise the various living forms that exist on Earth. Convolutional neural networks (CNN) technology is utilised in the experimental setting. For image recognition, feature extraction is used. To extract features and classify photos, the method utilised is adequate. The primary objective of the study is to identify the specific bird type an species based on the image of the bird.
Keywords: Convolution Neural Networks, Deep Learning, Bird Species, Bird Species Identification, Image Recognition
DOI: https://doi.org/10.5281/zenodo.8344167
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23SEP580.pdf
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