YOLOv5 vs. YOLOv8 in Marine Fisheries: Balancing Class Detection and Instance Count

arXiv:2405.02312v1 Announce Type: new
Abstract: This paper presents a comparative study of object detection using YOLOv5 and YOLOv8 for three distinct classes: artemia, cyst, and excrement. In this comparative study, we analyze the performance of these models in terms of accuracy, precision, recall, etc. where YOLOv5 often performed better in detecting Artemia and cysts with excellent precision and accuracy. However, when it came to detecting excrement, YOLOv5 faced notable challenges and limitations. This suggests that YOLOv8 offers greater versatility and …

abstract accuracy analyze arxiv class comparative study count cs.cv detection eess.iv etc instance marine object paper performance precision recall study terms type yolov5 yolov8