Gomes, A.A.P.;                     Ganacim, F.I.S.;                     Magrin, F.G.S.;                     Bobko, N.;                     Fernandes, L.G.;                     Pombeiro, A.;                     Romaneli, E.F.R.    
        A Semantically Annotated 15-Class Ground Truth Dataset for Substation Equipment to Train Semantic Segmentation Models. Data 2023, 8, 118.
    https://doi.org/10.3390/data8070118
    AMA Style
    
                                Gomes AAP,                                 Ganacim FIS,                                 Magrin FGS,                                 Bobko N,                                 Fernandes LG,                                 Pombeiro A,                                 Romaneli EFR.        
                A Semantically Annotated 15-Class Ground Truth Dataset for Substation Equipment to Train Semantic Segmentation Models. Data. 2023; 8(7):118.
        https://doi.org/10.3390/data8070118
    
    Chicago/Turabian Style
    
                                Gomes, Andreas Anael Pereira,                                 Francisco Itamarati Secolo Ganacim,                                 Fabiano Gustavo Silveira Magrin,                                 Nara Bobko,                                 Leonardo Göbel Fernandes,                                 Anselmo Pombeiro,                                 and Eduardo Félix Ribeiro Romaneli.        
                2023. "A Semantically Annotated 15-Class Ground Truth Dataset for Substation Equipment to Train Semantic Segmentation Models" Data 8, no. 7: 118.
        https://doi.org/10.3390/data8070118
    
    APA Style
    
                                Gomes, A. A. P.,                                 Ganacim, F. I. S.,                                 Magrin, F. G. S.,                                 Bobko, N.,                                 Fernandes, L. G.,                                 Pombeiro, A.,                                 & Romaneli, E. F. R.        
        
        (2023). A Semantically Annotated 15-Class Ground Truth Dataset for Substation Equipment to Train Semantic Segmentation Models. Data, 8(7), 118.
        https://doi.org/10.3390/data8070118