The RA3I project, funded by P2030, aims to innovate in the field of archaeology by applying advanced AI techniques to the analysis of prehistoric rock art. The project focuses on overcoming the challenge of managing and interpreting vast datasets related to rock art worldwide. It responds to the growing need for automated tools that can assist archaeologists in cataloguing, classifying and interpreting rock art pictograms, a task that traditionally required manual intervention. The main aim of RA3I is to develop AI‐powered tools to automatically interpret and catalogue prehistoric rock art. The project seeks to provide solutions to automatically convert images into scalable formats, identify and classify individual images and apply data mining techniques to discover patterns in rock art data.

The RA3I project: Rock Art and Artificial Intelligence

Mahym Amanova
Ultimo
Methodology
2025

Abstract

The RA3I project, funded by P2030, aims to innovate in the field of archaeology by applying advanced AI techniques to the analysis of prehistoric rock art. The project focuses on overcoming the challenge of managing and interpreting vast datasets related to rock art worldwide. It responds to the growing need for automated tools that can assist archaeologists in cataloguing, classifying and interpreting rock art pictograms, a task that traditionally required manual intervention. The main aim of RA3I is to develop AI‐powered tools to automatically interpret and catalogue prehistoric rock art. The project seeks to provide solutions to automatically convert images into scalable formats, identify and classify individual images and apply data mining techniques to discover patterns in rock art data.
2025
9791098153501
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2616330
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