Bird Species Identification Using CNN

Bird Species Identification Using CNN

Prof. Ms. P. A. Agrawal 1, Rohit Vasudev Patil 2, Prit Sanjay Chaudhari 3, Harshal Devendra Patel4, Jayesh Ashok Wagh5
1Assistant Professor, Department of Computer Engineering

2,3,4,5Department of Computer Engineering, R. C. Patel Institute of Technology, Shirpur

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Abstract - Identification of bird species is crucial for ecological study, citizen science initiatives, and conservation efforts. The time-consuming and specialised knowledge needed for traditional identification methods is not beneficial for large-scale applications. In recent years, deep learning has emerged as a promising methodology for automating the identification of bird species using computer vision techniques. In order to identify different species of birds, this study presents a novel deep learning framework that makes use of convolutional neural networks (CNNs) and a large dataset of bird images. A collection of images featuring a range of bird species is used to train the proposed model. This paper provides an accurate and scalable approach for species identification of birds, so advancing the field of ornithology.

Key Words: Bird species identification, Deep learning, Convolutional Neural Network (CNN)