SimuShips - A High Resolution Simulation Dataset for Ship Detection with Precise Annotations

Description

Availability of domain-specific datasets is a challenge for object detection. In particular, conducting onsite experiments is risky and time-consuming for the maritime domain. It is not always possible to capture challenging situations and incorporate variations in the environment. Therefore, we present a simulation-based dataset for maritime environments consisting of 9471 high-resolution (1920x1080) images resembling the real world with precise annotations. The dataset was acquired using a simulation tool, AILiveSim. AILiveSim is a 3D simulation platform for targeted scalable development and integration of autonomous systems through digital twins. The tool provides a realistic 3D model of the route of the watercraft extended from the city of Turku to Ruisalo in South-West Finland. Our dataset incorporates diversity of objects, weather, illumination, visible proportion and scale in images that resemble the real world.
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Year of publication

2022

Type of data

Authors

EDISS - Erasmus Mundus Joint Master Degree Programme on the Engineering of Data-intensive Intelligent Software Systems

Hanna Prokopova - Creator

Minahil Raza - Creator

Samir Huseynzade - Creator

Zenodo - Publisher

Sebastien Lafond Orcid -palvelun logo - Creator

Sepinoud Azimi Rashti Orcid -palvelun logo - Creator

Project

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Fields of science

Computer and information sciences

Language

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

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