A Semantically Annotated 15-Class Ground Truth Dataset for Substation Equipment to Train Semantic Segmentation Models

A Semantically Annotated 15-Class Ground Truth Dataset for Substation Equipment to Train Semantic Segmentation Models

The lack of annotated semantic segmentation datasets for electrical substations in the literature poses a significant problem for machine learning tasks; before training a model, a dataset is needed. This paper presents a new dataset of electric substations with 1660 images annotated with 15 classes...

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Bibliographic Details
Main Authors: Andreas Anael Pereira Gomes, Francisco Itamarati Secolo Ganacim, Fabiano Gustavo Silveira Magrin, Nara Bobko, Leonardo Göbel Fernandes, Anselmo Pombeiro, Eduardo Félix Ribeiro Romaneli
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Data
Subjects:
semantic segmentation
annotation
labeling
automated methods
substation automation
machine learning
Online Access:https://www.mdpi.com/2306-5729/8/7/118

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