This dataset includes Camellia oleifera fruit images and the labels for YOLO detection model training. The dataset is divided into 3 sub-datasets, including 1012 samples in 'train', 337 in 'validation
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,
