Classification of Razor Clams through Shape and Size via YOLOv8

Clams are bivalve mollusks found in coastal freshwater and saltwater areas, with razor clams being highly prized for their taste. Published studies have focused on environmental and health issues related to razor clams, alongside classifications of snails and the design of anchoring tools mimicking their shape. This study explores the effectiveness of YOLOv8 object detection in classifying razor clams by size and shape. Researchers propose using a webcam system to capture images of three specific razor clam species: Rich Man's Finger, Atlantic Jackknife, and Pacific razor clams. YOLOv8 successfully classified these clams, achieving over 90% accuracy. This study marks the first application of YOLOv8 for classifying razor clam species based on their physical characteristics. The developed system offers real-time identification through image processing, benefiting both buyers and researchers in the field.