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

Published: 16 July 2024| Version 1 | DOI: 10.17632/b2gyszjxbx.1
Contributors:
,
,
, Charles Cordeiro, Ulisses Lebre

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.

Files

Institutions

Universidade Federal de Sergipe

Categories

Hydrophobicity

Funding

National Council for Scientific and Technological Development

Coordenação de Aperfeicoamento de Pessoal de Nível Superior

Agência Nacional de Energia Elétrica

PD-11278-0001-2021

Licence