Real-Time Underwater Seabed Biodiversity Detection using an Enhanced CNN-Based Deep Learning Framework
Detecting objects underwater remains a challenging problem due to light absorption, scattering effects, low visibility, color distortion, and object occlusion in complex marine environments. Recently, deep learning models based on YOLO have demonstrated promising real-time detection capabilities. However, their perform...