BIRD SPECIES DETECTION USING DEEP LEARNING TECHNIQUES WITH AUDIO OR IMAGES
DOI:
https://doi.org/10.48047/5480ce70Keywords:
EfficientNet-B1, MFCC (Mel Frequency Cepstral Coefficients), Multi-modal classification, Bird species recognition, Convolutional Neural Network (CNN).Abstract
Today, this study presents a deep learning-based bird species recognition system that uses picture and acoustic data for accuracy. The picture categorization module uses EfficientNet-B1, a cutting-edge convolutional neural network that balances accuracy and
processing economy. It extracts key visual elements from submitted bird pictures for species identification.
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