Underwater Image Classification

The Underwater Image Dataset is a comprehensive collection of images designed to facilitate marine biology research and underwater object detection tasks. It consists of five distinct classes: Clams, Dolphins, Jellyfish, Lobster, and Nudibranchs, each represented by 500 high-quality images. This dataset provides a diverse range of underwater scenes, capturing the unique characteristics and habitats of these marine species, and is an invaluable resource for training and testing machine learning models in underwater image classification and analysis.