Toward the Standardisation of Annotation Data for Patrimonial Images: A Case of Layout Detection for Art Magazines.
This article addresses the epistemological and methodological issues of computer vision applied to art historical corpora by highlighting the challenges of the use of heterogeneous and diverse formats and tools for annotation. Authors underline the importance of working towards the standardization o...
| Publicado en: | Digital Humanities in the Nordic & Baltic Countries Publications (DHNB Publications) Vol. 7; no. 3; pp. 1 - 17 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
University of Oslo
2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | This article addresses the epistemological and methodological issues of computer vision applied to art historical corpora by highlighting the challenges of the use of heterogeneous and diverse formats and tools for annotation. Authors underline the importance of working towards the standardization of patrimonial image annotation by addressing our need for interoperable and reproducible data, in order to fine-tune models for automatic object recognition applied to patrimonial images. The authors advocate that the sharing of annotation data should be assumed by collaborative endeavors among cultural institutions. |
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