Visual Dataset of Traditional Portuguese Musical Instruments

This dataset was created to support classifying and preserving traditional Portuguese musical instruments using computer vision techniques. The hypothesis is that visual data when systematically organized and labelled, can effectively train machine learning models to recognize and classify Portuguese folk instruments. The dataset includes frames extracted from videos by 'A Música Portuguesa A Gostar Dela Própria' (MPAGDP), an association focused on documenting Portuguese cultural heritage. Five frames per video were selected and normalized to ensure consistency, enabling accurate analysis and model training.

The data can be used to identify features of Portuguese instruments, supporting applications in digital ethnomusicology, automated classification, and cultural studies. Researchers can interpret the data as a tool for deep learning and comparative analysis of visual characteristics across instrument types. This dataset provides a structured foundation for studies in cultural preservation, deep learning, and visual pattern recognition.

本数据集旨在支持利用计算机视觉技术对传统葡萄牙音乐乐器进行分类与保存。其假设为，经过系统化组织和标注的视觉数据能够有效训练机器学习模型以识别和分类葡萄牙民间乐器。数据集包含从《葡萄牙音乐之美》系列视频（MPAGDP）中提取的帧，该系列视频由专注于记录葡萄牙文化遗产的协会制作。每段视频中选取五帧并进行标准化处理，以确保一致性，从而实现精确的分析和模型训练。该数据集可用于识别葡萄牙乐器的特征，支持数字民族音乐学、自动分类和文化研究等应用。研究者可将此数据视为深度学习和不同乐器类型视觉特征比较分析的工具。本数据集为文化保护、深度学习和视觉模式识别研究提供了结构化的基础。