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A Semantically Annotated 15-Class Ground Truth Dataset for ..:
Andreas Anael Pereira Gomes
;
Francisco Itamarati Secolo Ganacim
;
Fabiano Gustavo Silveira Magrin
...
https://www.mdpi.com/2306-5729/8/7/118. , 2023
Link:
https://doi.org/10.3390/data8070118
RT Journal T1
A Semantically Annotated 15-Class Ground Truth Dataset for Substation Equipment to Train Semantic Segmentation Models
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:18ae96f904b245da9a7ec08fdb21b263&Exemplar=1&LAN=DE A1 Andreas Anael Pereira Gomes A1 Francisco Itamarati Secolo Ganacim A1 Fabiano Gustavo Silveira Magrin A1 Nara Bobko A1 Leonardo Göbel Fernandes A1 Anselmo Pombeiro A1 Eduardo Félix Ribeiro Romaneli PB MDPI AG YR 2023 K1 semantic segmentation K1 annotation K1 labeling K1 automated methods K1 substation automation K1 machine learning K1 Bibliography. Library science. Information resources K1 Z JF https://www.mdpi.com/2306-5729/8/7/118 LK http://dx.doi.org/https://doi.org/10.3390/data8070118 DO https://doi.org/10.3390/data8070118 SF ELIB - SuUB Bremen
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