DUO dataset

For the experimental evaluation, the Detecting Underwater Objects (DUO) dataset was used, The dataset was de-duplicated using a perceptual hash algorithm, of which 6671 sheets were used for training, 1111 sheets for testing, and 1111 sheets for validation. There are only a few similar images in the new dataset. Additionally, the DUO dataset includes some images from various underwater scene datasets.The total number of targets in the dataset is 74,515, of which the number of holothurians, echinus, scallops, and starfish are 7,887, 50,156, 1,924, and 14,548, respectively.Image tag has been converted from json file to txt file, which is convenient for yolo algorithm.

为开展实验评估，本研究采用了水下目标检测（Detecting Underwater Objects, DUO）数据集。该数据集已通过感知哈希算法完成去重处理，其中6671张图像用于训练集，1111张用于测试集，另有1111张用于验证集。去重后的新数据集仅包含极少量相似图像。此外，DUO数据集还收录了多个不同水下场景数据集的部分图像。该数据集的总目标数为74515个，其中海参、海胆、扇贝以及海星的目标数量分别为7887、50156、1924以及14548。图像标签已从JSON格式文件转换为TXT格式文件，以适配YOLO算法的使用需求。