Birds have an enormous impact on the ecosystem and various information about an area can be produced from the bird species prevalent in it. Ornithologists have been monitoring many bird species in order to gain a better understanding of their habitats. Image classification is a popular technique that can be used in order to classify different species of birds. An image classification approach for bird species identification has been proposed in this work. The approach is based on transfer learning using the pre-trained CNN architecture VGG16. The model is trained on more than 45000 images of 300 different species of birds, many of which are endangered. The model is able to achieve 96.44% accuracy on the training dataset while achieving a maximum accuracy of 96.8% on the test dataset.
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22 June 2023
INTERNATIONAL CONFERENCE ON INNOVATIONS IN COMPUTER SCIENCE, ELECTRONICS & ELECTRICAL ENGINEERING-2022
14–15 February 2022
Ashta, India
Research Article|
June 22 2023
A high accuracy approach for bird species identification using VGG16 Available to Purchase
Jyoti Madake;
Jyoti Madake
a)
Department of Electronics and Telecommunication Engineering, Vishwakarma Institute of Technology
, Pune, India
, 411037a)Corresponding author [email protected]
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Shripad Bhatlawande;
Shripad Bhatlawande
b)
Department of Electronics and Telecommunication Engineering, Vishwakarma Institute of Technology
, Pune, India
, 411037
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Parth Kudal;
Parth Kudal
c)
Department of Electronics and Telecommunication Engineering, Vishwakarma Institute of Technology
, Pune, India
, 411037
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Swati Shilaskar
Swati Shilaskar
d)
Department of Electronics and Telecommunication Engineering, Vishwakarma Institute of Technology
, Pune, India
, 411037
Search for other works by this author on:
Jyoti Madake
a)
Department of Electronics and Telecommunication Engineering, Vishwakarma Institute of Technology
, Pune, India
, 411037
Shripad Bhatlawande
b)
Department of Electronics and Telecommunication Engineering, Vishwakarma Institute of Technology
, Pune, India
, 411037
Parth Kudal
c)
Department of Electronics and Telecommunication Engineering, Vishwakarma Institute of Technology
, Pune, India
, 411037
Swati Shilaskar
d)
Department of Electronics and Telecommunication Engineering, Vishwakarma Institute of Technology
, Pune, India
, 411037
a)Corresponding author [email protected]
AIP Conf. Proc. 2717, 030004 (2023)
Citation
Jyoti Madake, Shripad Bhatlawande, Parth Kudal, Swati Shilaskar; A high accuracy approach for bird species identification using VGG16. AIP Conf. Proc. 22 June 2023; 2717 (1): 030004. https://doi.org/10.1063/5.0129167
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