VESSA — Vessel Encyclopedia for Sea by Software Analysis VESSA is a structured dataset designed to support the development of computer vision models for the detection, classification, and kinematic estimation of vessels using monocular imagery. It was developed in the context of the research project “A New Approach for Vessel Detection, Classification, and Estimation Using Monocular Vision”, and addresses specific challenges of maritime surveillance with shore-based and ship-mounted cameras. Contents More than 200,000 labeled images of vessels, collected from open maritime sources in 70GB of data. 25 vessel categories, including: Passenger Ship, Tug, Tanker, Yacht, Sailboat, Fishing Vessel, and others. Bounding box annotations in YOLO format, manually revised; Auxiliary metadata, including: Vessel physical dimensions and construction characteristics. Copyright information for each image, sourced mainly from the ShipSpotting platform. Use Cases VESSA is tailored for research involving: Object detection and classification in maritime environments Monocular camera calibration and focal modeling Geospatial estimation of vessel motion and position Real-time monitoring using video streams Because of the dataset’s size, we prefer to store it ourselves. The dataset is available for download. Click here. A formal Google Drive access request will be required. Please provide the following information in your request: Full name for contact: Name of one author at least Affiliation(s): Names of the institutions involved Purpose(s): Research | Industry Commitment to cite our work in case of any use: Yes| No