Project SIREN: Machine learning and the ancient naval battle site at the Egadi Islands, Sicily
Author(s): Mateusz Polakowski
Year: 2023
Summary
This is an abstract from the session entitled "Re-Visualizing Submerged Landscapes", at the 2023 annual meeting of the Society for Historical Archaeology.
On March 13, 241 BC off the western coast of Sicily a Roman naval force intercepted a Carthaginian resupply mission on its way to Sicily. Project SIREN is an endeavor to capture and use the experience gained through years of survey work on the Battle of the Egadi Islands Survey Project (2005-2021). Utilizing remote datasets including multibeam bathymetry (MBES), sidescan sonar (SSS), and video footage the project aims to apply machine learning in image recognition to the current survey methodology to increase the potential of identifying more warship remains. Early results indicate that image annotation can dramatically improve how we determine potential areas of investigation. This paper will discuss previous methods of investigation at the site, the experience gained in target recognition through direct survey methods, and how incorporation of automatic image identification is being used to increase the chances of locating artefacts related to the battle on the seabed.
Cite this Record
Project SIREN: Machine learning and the ancient naval battle site at the Egadi Islands, Sicily. Mateusz Polakowski. Presented at Society for Historical Archaeology, Lisbon, Portugal. 2023 ( tDAR id: 475823)
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Keywords
General
Image Analysis
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Machine Learning
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warships
Geographic Keywords
Mediterranean
Individual & Institutional Roles
Contact(s): Nicole Haddow