a vessel dataset using 85 videos. The dataset covers normal weather conditions such as sunny, rainy, reflective, low light, night, etc. The first 43 videos are annotated with one video every 1 second, and the last 42 videos are annotated with one video every 2 seconds. Furthermore, since the collected videos contain many duplicate images, we use multiple similar images to annotate only one image to alleviate overfitting when training the model, with a total of 4563 images and 5864 annotation frames. Among them, 82 videos are used as the training model, of which 3063 are used as the training set, 1318 as the validation set, and three untrained scenes are used as the test set, totaling 182 images.