Plankton Image

Plankton image analysis focuses on automatically identifying and classifying different plankton species from microscopic images, crucial for monitoring aquatic ecosystems and understanding climate change. Current research heavily utilizes deep learning, employing convolutional neural networks (CNNs) like ResNet and EfficientNet, often with transfer learning techniques, to achieve high accuracy in classification. Unsupervised learning methods are also being developed to address the challenges of large datasets and the high cost of manual annotation. These advancements promise faster, more efficient, and less biased plankton monitoring, improving ecological research and environmental management.