Detection Fusion of YOLO and RT-DETR for Unique Coral Instance Estimation

A Comparative Study of YOLO Models for Automated Coral Reefs Classification

Explainable Deep Learning Framework for Coral Reef Health Detection Using Efficientnet and Grad-CAM

Coral reefs are critical marine ecosystems that support biodiversity, coastal protection, and fisheries, but they are increasingly threatened by climate change, ocean acidification, pollution, and coral bleaching. Traditional reef monitoring methods rely on manual underwater surveys, which are labor-intensive, time-con...

Deep Learning based Detection of Fishing Vessels and Fishing Monitoring using Nightlight Images

The demand for maritime surveillance has given rise to the need for monitoring fishing vessel activities, particularly in addressing the challenge of"dark vessels"that operate without Automatic Identification System (AIS) transmission. This study presents a novel approach for detecting small-scale fishing vessels using...

Real-Time Marine Oil Spill Detection Using YOLO-Based Object Detectors

Findings indicate that real-time oil spill monitoring should be assessed jointly on accuracy, strict localization and compute cost, rather than ranked using mAP@50 alone.

LMOD-YOLO: A lightweight YOLO model for marine organism visual detection

LMOD-YOLO, a lightweight real-time marine organism detection model, integrates three key modules to improve computational efficiency while maintaining high detection accuracy, and demonstrates a favorable balance between detection accuracy and deployment efficiency.

An Intelligent Real-Time Detection and Classification System for Sustainable Aquatic Ecosystem Monitoring in Tropical Waters

Sustainable monitoring of aquatic ecosystems in tropical waters requires effective, adaptive, and intelligent technological approaches. This work proposes a design and evaluation of an intelligent real-time system for detecting and classifying freshwater fish species using You Only Look Once version 8 (YOLOv8), a recen...