Whale Species Classifier Using Dorsal Fin And Lateral Body Characteristic

Abstract

Most of the time whale classification is a huge problem because of the low availability of the training data. The researchers working on whale species identification have stated that manual recognition of the whales is not that easy because the whales do not surface very often, the only time they surface to the water is when they have to breathe through their blowhole. This is one of the many opportunities of manual recognition used by the researchers to capture an image of the whales. The dataset used in this paper is comprised of the images of whales containing the characteristic of ‘Dorsal Fin and Lateral Body’. In this Paper the classification of ‘Whale Species’ using the images of dorsal fins and lateral body is performed using a pre-trained model Mobile Net v2 based on CNN and ANN. The preliminary classification model made in this paper achieved the test accuracy of 87.15%.