Comprehensive dataset of Portuguese folk instruments for computer vision and heritage researchMendeley Data

This dataset contains visual data of traditional Portuguese musical instruments extracted from videos available on the “A Música Portuguesa A Gostar Dela Própria” webpage. This cultural and musical documentation platform provides an authentic perspective on Portugal's traditional instruments. E...

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Bibliographic Details
Main Authors: Luis Augusto Silva Zendron, Héctor Sánchez San Blas, André Filipe Sales Mendes, Diego M. Jiménez-Bravo, Álvaro Lozano Murciego
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Data in Brief
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Online Access:http://www.sciencedirect.com/science/article/pii/S2352340925004664
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Summary:This dataset contains visual data of traditional Portuguese musical instruments extracted from videos available on the “A Música Portuguesa A Gostar Dela Própria” webpage. This cultural and musical documentation platform provides an authentic perspective on Portugal's traditional instruments. Each image highlights the distinctive visual characteristics of traditional musical instruments as they are being played, and the dataset has been standardised to a uniform resolution without applying additional filters, preserving the raw visual content except for face anonymisation. Labelled using the Roboflow tool, these images are organised to support the creation of machine learning models and artificial intelligence applications.The dataset includes a variety of traditional musical instruments used in Portuguese folk music, offering a structured resource for training and testing computer vision models aimed at instrument recognition and classification. By making this dataset publicly accessible, we support ongoing research in computer vision, cultural preservation and cataloguing of cultural heritage and other artificial intelligence tasks, providing the scientific community and the public with a detailed visual tool for comparative study and classification of these culturally significant instruments.
ISSN:2352-3409