Deep learning in marine species classification utilizes neural networks like CNNs and vision Transformers to automatically identify species from images or videos. These models learn features directly from data, achieving high accuracy, and scalability. By extracting intricate patterns, they aid biodiversity monitoring and conservation efforts, contributing to understanding marine ecosystems.
Honours Student
Supervisor