Anichini, F., Banterle, F., Buxeda i Garrigós, J., Callieri, M., Dershowitz, N., Dubbini, N., Lucendo Diaz, D., Evans, T. N L., Gattiglia, G., Gualandi, M., Hervas, M., Itkin, B., Madrid i Fernandez, M., Gascón, E., Remmy, M., Richards, J. D., Scopigno, R., Vila, L., Wolf, L., Wright, H., Zallocco, M. and Green, K. L. (2019). Developing the ArchAIDE Application. Internet Archaeology 52. Vol 52, York: Internet Archaeology. https://doi.org/10.11141/ia.52.7.
 Title The title of the publication or report |
Developing the ArchAIDE Application | |||
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Subtitle The sub title of the publication or report |
A digital workflow for identifying, organising and sharing archaeological pottery using automated image recognition | |||
Issue The name of the volume or issue |
Internet Archaeology 52 | |||
Series The series the publication or report is included in |
Internet Archaeology | |||
Volume Volume number and part |
52 | |||
Biblio Note This is a Bibliographic record only. |
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Licence Type ADS, CC-BY 4.0 or CC-BY 4.0 NC. |
Creative Commons Attribution 3.0
International Licence |
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Publication Type The type of publication - report, monograph, journal article or chapter from a book |
Journal | |||
Abstract The abstract describing the content of the publication or report |
Pottery is of fundamental importance for understanding archaeological contexts, facilitating the understanding of production, trade flows, and social interactions. Pottery characterisation and the classification of ceramics is still a manual process, reliant on analogue catalogues created by specialists, held in archives and libraries. The ArchAIDE project worked to streamline, optimise and economise the mundane aspects of these processes, using the latest automatic image recognition technology, while retaining key decision points necessary to create trusted results. Specifically, ArchAIDE worked to support classification and interpretation work (during both fieldwork and post-excavation analysis) with an innovative app for tablets and smartphones. This article summarises the work of this three-year project, funded by the European Union's Horizon 2020 Research and Innovation Programme under grant agreement N.693548, with a consortium of partners representing both the academic and industry-led ICT (Information and Communications Technology) domains, and the academic and development-led archaeology domains. The collaborative work of the archaeological and technical partners created a pipeline where potsherds are photographed, their characteristics compared against a trained neural network, and the results returned with suggested matches from a comparative collection with typical pottery types and characteristics. Once the correct type is identified, all relevant information for that type is linked to the new sherd and stored within a database that can be shared online. ArchAIDE integrated a variety of novel and best-practice approaches, both in the creation of the app, and the communication of the project to a range of stakeholders. | |||
Year of Publication The year the book, article or report was published |
2019 | |||
Locations Any locations covered by the publication or report. This is not the place the book or report was published. |
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Source Where the record has come from or which dataset it was orginally included in. |
ADS Library
(ADS Library)
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Relations Other resources which are relevant to this publication or report |
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Created Date The date the record of the pubication was first entered |
20 Apr 2020 |
