Vessel Encyclopedia for Sea by Software Analysis (VESSA)

Rangel, Pablo;da Rocha Salazar, Matheus;Potier de Oliveira, José Ricardo;Gomes de Carvalho Júnior, José;Benits, Felipe;Maravalhas de Abreu Nunes, Vinicius;Miceli de Farias, Claudio

Description

VESSA — Vessel Encyclopedia for Sea by Software AnalysisVESSA 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.ContentsMore 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 CasesVESSA is tailored for research involving:Object detection and classification in maritime environmentsMonocular camera calibration and focal modelingGeospatial estimation of vessel motion and positionReal-time monitoring using video streamsBecause 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 leastAffiliation(s): Names of the institutions involvedPurpose(s): Research | IndustryCommitment to cite our work in case of any use: Yes| No

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.5

FAIR Score

88%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

GNU General Public License v3.0 or later

Assigned Domain

Subfield

Industrial and Manufacturing Engineering

Field

Engineering

Domain

Physical Sciences

Confidence Score

50%

Source

Scholar Data Model

Keywords

Ships/classificationSea vesselsPublic maritime domain

Normalization Factors

FT

65.38

CTw

1.00

MTw

1.00