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

Beskrivning

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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Publiceringsår

2022

Typ av data

Upphovspersoner

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

Hanna Prokopova - Upphovsperson

Minahil Raza - Upphovsperson

Samir Huseynzade - Upphovsperson

Zenodo - Utgivare

Sebastien Lafond Orcid -palvelun logo - Upphovsperson

Sepinoud Azimi Rashti Orcid -palvelun logo - Upphovsperson

Projekt

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Vetenskapsområden

Data- och informationsvetenskap

Språk

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Öppet

Licens

Creative Commons Attribution 4.0 International (CC BY 4.0)

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