Publicação
Natural Stone Image Classification Using Online Databases and Convolutional Neural Networks
| datacite.subject.fos | Ciências Naturais::Ciências da Terra e do Ambiente | |
| dc.contributor.author | Brito, J. H. | |
| dc.contributor.author | Morim, D. M. | |
| dc.contributor.author | Carvalho, Cristina Isabel Paulo | |
| dc.contributor.author | Alves, Raquel | |
| dc.date.accessioned | 2026-02-09T15:14:39Z | |
| dc.date.available | 2026-02-09T15:14:39Z | |
| dc.date.issued | 2025-06 | |
| dc.description.abstract | ABSTRACT: In this paper, we discuss the relevance of two distinct types of online natural stone databases (technical-institutional repositories and logistics-commercial e-platforms) for extracting (training and testing) input images and creating an automatic visual inspection system for natural stone classification. Using convolutional neural networks (CNNs) and images from a selected online data repository, a Deep Learning (DL) system was developed to estimate the class of the natural stone in a given image. The DL models were developed through transfer learning from existing image classifiers, as pre-trained classifiers were retrained on our dataset. Our best model achieved an Accuracy of 70.3% and an F-score of 0.67 for 70 classes. | eng |
| dc.identifier.citation | Brito, J., Morim, D., Carvalho, C., & Alves, R. (2025). Natural Stone Image Classification Using Online Databases and Convolutional Neural Networks. In: Proceedings of the 8th Global Stone Congress, Drama, Greece, 16-20 June, 2025 | |
| dc.identifier.uri | http://hdl.handle.net/10400.9/6250 | |
| dc.language.iso | eng | |
| dc.peerreviewed | no | |
| dc.relation | Applied Artificial Intelligence Laboratory | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Natural stones | |
| dc.subject | Digital database | |
| dc.subject | Stone classification | |
| dc.subject | Computer vision | |
| dc.title | Natural Stone Image Classification Using Online Databases and Convolutional Neural Networks | eng |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Applied Artificial Intelligence Laboratory | |
| oaire.awardURI | http://hdl.handle.net/10400.9/6249 | |
| oaire.citation.conferenceDate | 2025-06 | |
| oaire.citation.conferencePlace | Drama, Greece | |
| oaire.citation.title | 8th Global Stone Congress | |
| oaire.fundingStream | Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Base | |
| oaire.version | http://purl.org/coar/version/c_be7fb7dd8ff6fe43 | |
| person.familyName | Carvalho | |
| person.givenName | Cristina Isabel Paulo | |
| person.identifier.orcid | 0000-0002-9113-2839 | |
| relation.isAuthorOfPublication | 0d9d2d07-52ca-4dcc-b38a-ed52808c273c | |
| relation.isAuthorOfPublication.latestForDiscovery | 0d9d2d07-52ca-4dcc-b38a-ed52808c273c | |
| relation.isProjectOfPublication | a4d70f44-d409-4371-8f78-20344c55a4ca | |
| relation.isProjectOfPublication.latestForDiscovery | a4d70f44-d409-4371-8f78-20344c55a4ca |