Developing the ArchAIDE Application: A digital workflow for identifying, organising and sharing archaeological pottery using automated image recognition
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 special...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of York
2020-03-01
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| Series: | Internet Archaeology |
| Subjects: | |
| Online Access: | https://intarch.ac.uk/journal/issue52/7/index.html |
| _version_ | 1797225205541634048 |
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| author | Francesca Anichini Francesco Banterle Jaume Buxeda i Garrigós Marco Callieri Nachum Dershowitz Nevio Dubbini Diego Lucendo Diaz Tim Evans Gabriele Gattiglia Katie Green Maria Letizia Gualandi Miguel Angel Hervas Barak Itkin Marisol Madrid i Fernandez Eva Miguel Gascón Michael Remmy Julian Richards Roberto Scopigno Llorenç Vila Lior Wolf Holly Wright Massimo Zallocco |
| author_facet | Francesca Anichini Francesco Banterle Jaume Buxeda i Garrigós Marco Callieri Nachum Dershowitz Nevio Dubbini Diego Lucendo Diaz Tim Evans Gabriele Gattiglia Katie Green Maria Letizia Gualandi Miguel Angel Hervas Barak Itkin Marisol Madrid i Fernandez Eva Miguel Gascón Michael Remmy Julian Richards Roberto Scopigno Llorenç Vila Lior Wolf Holly Wright Massimo Zallocco |
| author_sort | Francesca Anichini |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T07:16:21Z |
| format | Article |
| id | doaj.art-5677760be3234e0bb1c92e8f29d6c05b |
| institution | Directory Open Access Journal |
| issn | 1363-5387 |
| language | English |
| last_indexed | 2024-04-24T14:05:19Z |
| publishDate | 2020-03-01 |
| publisher | University of York |
| record_format | Article |
| series | Internet Archaeology |
| spelling | doaj.art-5677760be3234e0bb1c92e8f29d6c05b2024-04-03T10:37:08ZengUniversity of YorkInternet Archaeology1363-53872020-03-015210.11141/ia.52.7Developing the ArchAIDE Application: A digital workflow for identifying, organising and sharing archaeological pottery using automated image recognitionFrancesca Anichini0Francesco Banterle1Jaume Buxeda i Garrigós2https://orcid.org/0000-0001-6857-8448Marco Callieri3https://orcid.org/0000-0002-5832-680XNachum Dershowitz4Nevio Dubbini5Diego Lucendo Diaz6Tim Evans7https://orcid.org/0000-0002-2725-6730Gabriele Gattiglia8https://orcid.org/0000-0002-4245-8939Katie Green9https://orcid.org/0000-0003-2366-2587Maria Letizia Gualandi10https://orcid.org/0000-0003-4340-207XMiguel Angel Hervas11Barak Itkin12Marisol Madrid i Fernandez13https://orcid.org/0000-0003-3888-7244Eva Miguel Gascón14https://orcid.org/0000-0002-3007-2764Michael Remmy15https://orcid.org/0000-0003-2121-8327Julian Richards16https://orcid.org/0000-0003-3938-899XRoberto Scopigno17https://orcid.org/0000-0002-7457-7473Llorenç Vila18Lior Wolf19Holly Wright20https://orcid.org/0000-0002-3403-4159Massimo Zallocco21Università di Pisa. Mappa LabConsiglio Nazionale delle Ricerche CNR-ISTI Visual Computing Lab (VCL)Universitat de Barcelona, ARQUB Material Culture and ArchaeometryConsiglio Nazionale delle Ricerche, CNR-ISTI Visual Computing Lab (VCL)Tel Aviv University, School of Computer ScienceUniversity of Pisa BARAKAUniversity of York, Archaeology Data Service (ADS)Università di Pisa, Mappa LabUniversity of York, Archaeology Data Service (ADS)Università di Pisa, Mappa LabBARAKA Tel Aviv University, School of Computer ScienceUniversitat de Barcelona, ARQUB Material Culture and ArchaeometryUniversitat de Barcelona, ARQUB Material Culture and ArchaeometryUniversität zu Köln, CoDArchLab - Archaeological InstituteUniversity of York, Archaeology Data Service (ADS)Consiglio Nazionale delle Ricerche, CNR-ISTI Visual Computing Lab (VCL)ElementsTel Aviv University, School of Computer ScienceUniversity of York, Archaeology Data Service (ADS)IneraPottery 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.https://intarch.ac.uk/journal/issue52/7/index.htmlarchaeologypotteryceramicdigitisationmachine learningapp developmentimage recognitionidentificationclassification |
| spellingShingle | Francesca Anichini Francesco Banterle Jaume Buxeda i Garrigós Marco Callieri Nachum Dershowitz Nevio Dubbini Diego Lucendo Diaz Tim Evans Gabriele Gattiglia Katie Green Maria Letizia Gualandi Miguel Angel Hervas Barak Itkin Marisol Madrid i Fernandez Eva Miguel Gascón Michael Remmy Julian Richards Roberto Scopigno Llorenç Vila Lior Wolf Holly Wright Massimo Zallocco Developing the ArchAIDE Application: A digital workflow for identifying, organising and sharing archaeological pottery using automated image recognition Internet Archaeology archaeology pottery ceramic digitisation machine learning app development image recognition identification classification |
| title | Developing the ArchAIDE Application: A digital workflow for identifying, organising and sharing archaeological pottery using automated image recognition |
| title_full | Developing the ArchAIDE Application: A digital workflow for identifying, organising and sharing archaeological pottery using automated image recognition |
| title_fullStr | Developing the ArchAIDE Application: A digital workflow for identifying, organising and sharing archaeological pottery using automated image recognition |
| title_full_unstemmed | Developing the ArchAIDE Application: A digital workflow for identifying, organising and sharing archaeological pottery using automated image recognition |
| title_short | Developing the ArchAIDE Application: A digital workflow for identifying, organising and sharing archaeological pottery using automated image recognition |
| title_sort | developing the archaide application a digital workflow for identifying organising and sharing archaeological pottery using automated image recognition |
| topic | archaeology pottery ceramic digitisation machine learning app development image recognition identification classification |
| url | https://intarch.ac.uk/journal/issue52/7/index.html |
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