Indra Jaya

Detecting Trachinotus Blochii with a YOLOv8 Model and Video Dataset: A Deep Learning Approach for Fisheries Monitoring

This study develops a deep learning-based object detection model using YOLOv8 to detect Bawal Bintang/Star Pomfret fish (Trachinotus Blochii) in real time and with high accuracy from a video dataset captured in a 3x3x3 m3 Floating Net Cage (KJA) off the Karimunjawa coast. The video was taken using an Underwater Camera...

: A Deep … Detecting Trachinotus Blochii with a YOLOv8 Model and Video Dataset: A Deep Learning Approach for Fisheries Monitoring

ENHANCING UNDERWATER LIVE FISH DETECTION PERFORMANCE WITH YOLOV11 AND IMAGE ENHANCEMENT TECHNIQUES IN A REAL-TIME SYSTEM

Underwater fish detection is challenged by low light, turbidity, and blue-green color dominance from light attenuation. This study aims to compare six image-enhancement scenarios (baseline, CLAHE, Retinex Ultra Lite, UDP, UDP Super Lite, and Gamma Correction + White Balance) combined with YOLOv11 to evaluate their dete...