Fine-grained fish classification
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 typica...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/167827 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | 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. |
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