An Automated Animal Classification System: A Transfer Learning Approach

8 Pages Posted: 27 Feb 2020 Last revised: 2 Mar 2020

See all articles by Rochan Sharma

Rochan Sharma

Reliance Industries Limited

Nitin Pasi

University of Petroleum and Energy Studies (UPES)

Saurabh Shanu

University of Petroleum and Energy Studies (UPES)

Date Written: February 27, 2020

Abstract

Animal classification from images obtained by various techniques in forest become an important task to carry out focused distribution and abundance estimation. In the following paper a frame work based on Transfer Learning (TL) in a Convolutional Neural Network is proposed for the construction of an automated animal identification system. The framework is used to analyze & identify focal species in the images. A dataset of 6,203 camera trap images of 11 species including Wild pig, Barking deer, Chital, Elephant, Gaur, Hare, Jackal, Jungle cat, Porcupine, Sambhar, Sloth bear was obtained. Superior performance can be achieved by using Transfer learning in Deep Convolutions Neural Network (DCNN) for species classification. The accuracy achieved by the proposed model on the test dataset is 96% in 18 epochs by using batch-size of 32. This, in turn, can speed up research findings, construct more efficient and reliable animal monitoring systems, and consequently, save the time and effort of the Indian scientists. Therefore, having the potential to make significant impacts in the classification and analysis of camera trap images of the site under observation.

Keywords: Abundance, Distribution, Images, Convolutions Neural Network, Deep Learning, Transfer Learning, Animal Classification, VGG-16

Suggested Citation

Sharma, Rochan and Pasi, Nitin and Shanu, Saurabh, An Automated Animal Classification System: A Transfer Learning Approach (February 27, 2020). 5th International Conference on Next Generation Computing Technologies (NGCT-2019). Available at SSRN: https://ssrn.com/abstract=3545100 or http://dx.doi.org/10.2139/ssrn.3545100

Rochan Sharma (Contact Author)

Reliance Industries Limited ( email )

Makers Chambers - IV
Nariman Point
Mumbai, 400 021
India

Nitin Pasi

University of Petroleum and Energy Studies (UPES) ( email )

Energy Acres
P.O. Bidholi via Premnagar,
Dehradun, IN Uttarakhand 248007
India

Saurabh Shanu

University of Petroleum and Energy Studies (UPES) ( email )

Energy Acres
P.O. Bidholi via Premnagar,
Dehradun, IN Uttarakhand 248007
India

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