Fine-grained fish classification

• Main Author: Isak, Merchant Mahek
• Other Authors: Alex Chichung Kot
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2023
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/167827
• Institution: Nanyang Technological University

To thoroughly understand the marine ecosystem and biodiversity, we must identify the fish species in each aquarium tank. Deep learning algorithms can classify various animal species and have shown precise results for fine-grained image classification. However, these techniques are based on typical scenarios and do not apply to the underwater environment. This project seeks to conduct fine-grained image classification in an aquatic environment. It involves working with the Aquarium Partner to capture images of fish species in different aquarium tanks. These images shall be used to train deep-learning models.