Detection of Echinoderms Underwater Using Deep Learning Network

Object detection is used to locate the occurrence of every object and analyze their important features. Detection over the land is far easier, and the results are more accurate. Still, when it comes to underwater object detection, it becomes more challenging due to the lack of visibility under the water. For better detection of underwater sea cucumbers, sea urchins, and scallops based on You Look Only Once version 7 (YOLOv7), it has been stated that among all of the real-time object detectors, this one shows 66.8% AP and surpasses all other detectors regarding speed. The detection outcomes exhibit a noteworthy improvement in the object detection and benefits in the further upcoming research works related to the deep study of underwater environment and exploration of unexplored, with the idea of the accuracy of YOLOv7 and comparison with other detection methods like YOLOv7-X, YOLOv7-E6, and YOLOv7-D6, which are generated by increasing the scaling of width and length.