Dataset for: Insulation Hydrophobicity Classification Based on Fourier Transform and Shallow Neural Networks

Description

This dataset was produced by applying the spray method (IEC Standard 62073) in a hydrophobic surface. A total of 1200 photos were taken from all hydrophobicity classes using a solution of distilled water and ethyl alcohol as spraying solution. Sections of the captured images were cropped to a size of 1024 x 1024 pixels and downscaled to 256 x 256 to reduce computational effort. The dataset is comprised by 200 images for each of the six hydrophobicity classes, from HC1 to HC6.

Institutions

• Universidade Federal de Sergipe

Categories

Funders

• National Council for Scientific and Technological Development

  Brazil
• Coordenação de Aperfeicoamento de Pessoal de Nível Superior

  Brazil
• Agência Nacional de Energia Elétrica

  Brazil

  Grant ID: PD-11278-0001-2021

Licence