Conference Proceedings

Snake detection and classification using deep learning

Z Yang, RO Sinnott

Proceedings of the Annual Hawaii International Conference on System Sciences | University of Hawaii at Manoa, Association for Information Systems IEEE Computer Society Press | Published : 2021

Abstract

Object detection is a major task in computer vision. With the rapid development of machine learning in the past few decades, and more recently deep learning, it is now possible to utilise complex machine learning models to automatically detect and classify objects from potentially complex images. In this paper we consider machine (deep) learning networks suitable for detection and classification of (Australian) snakes and their deployment and performance in a mobile environment. We explore state of the art Convolutional Neural Networks (CNNs) and their use for transfer learning. We develop an iOS application supporting an offline (model-embedded on the device) approach and an online version ..

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