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Xiaoyang Liu's dataset, published on figshare in 2026, compares methods for recognizing positive and negative electrodes on buzzer circuit boards using machine vision. The data likely contains performance metrics from experiments where the proposed method achieved an average relative error of less than 2% in electrode position recognition. The dataset is stored in an XLS file with a size of 9.5 KB.
Data is in XLS format, requiring compatible software (e.g., Excel, LibreOffice) for viewing.