Ships/Vessels in Aerial Images Ship Aerial Photography Dataset

The dataset contains 26.9k images with only the image category "ship" that are carefully annotated specifically for ship detection. The bounding box annotations are presented in YOLO format, which can accurately and efficiently detect ships in images.

Dataset Use Cases

Detecting ships in images is an important task with significant practical applications. Maritime safety is one such application, as ship detection can help prevent maritime accidents by providing early warnings of potential collisions or obstacles. Fisheries management is another important use case, where detection of fishing vessels can help monitor fishing activities and prevent overfishing. Additionally, ship detection can be used for marine pollution monitoring, defense and maritime security, prevention of piracy, illegal immigration, and a host of other purposes.

Given the importance and relevance of ship detection, this dataset is a valuable resource for researchers and professionals working in the fields of computer vision, machine learning, and the maritime industry. The YOLO format and precise bounding box annotations enable efficient and accurate ship detection, enabling a wide range of potential applications.