Comprehensive dataset of Portuguese folk instruments for computer vision and heritage research.

Journal: Data in brief
Published Date:

Abstract

This dataset contains visual data of traditional Portuguese musical instruments extracted from videos available on the " 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.

Authors

  • Luis Augusto Silva Zendron
    Expert Systems and Applications Lab, Departamento de Informática y Automática, Facultad de Ciencias, Universidad de Salamanca, Plaza de los. Caídos s/n, 37008 Salamanca, Spain.
  • Héctor Sánchez San Blas
    Expert Systems and Applications Lab (ESALAB), Faculty of Science, University of Salamanca, 37008 Salamanca, Spain.
  • André Filipe Sales Mendes
    Expert Systems and Applications Lab, Departamento de Informática y Automática, Facultad de Ciencias, Universidad de Salamanca, Plaza de los. Caídos s/n, 37008 Salamanca, Spain.
  • Diego M Jiménez-Bravo
    Expert Systems and Applications Lab, Departamento de Informática y Automática, Facultad de Ciencias, Universidad de Salamanca, Plaza de los. Caídos s/n, 37008 Salamanca, Spain.
  • Álvaro Lozano Murciego
    Expert Systems and Applications Lab, Departamento de Informática y Automática, Facultad de Ciencias, Universidad de Salamanca, Plaza de los. Caídos s/n, 37008 Salamanca, Spain.

Keywords

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