Milind Shah

Advancing Underwater Object Detection: A Comparative Study of YOLOv5s, YOLOv8s, and YOLOv11s with Bias Analysis

Environmental distortions and dataset-induced bias are challenges for underwater object detection due to the impact on model generalization. This research paper focuses on bias in the RUOD dataset and compares the performance of YOLOv5s, YOLOv8s, and YOLOv11s with 9,800 training images. Precision, Recall, and mean Aver...