PTL-AI Furnas Dataset: A Public Dataset for Fault Detection in Power Transmission Lines Using Aerial Images

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorFederal University of Mato Grosso (UFMT)-
Autor(es): dc.contributorEletrobras-Furnas-
Autor(es): dc.contributorUniversidade Federal de Goiás (UFG)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorDe Oliveira, Frederico Santos-
Autor(es): dc.creatorDe Carvalho, Marcelo-
Autor(es): dc.creatorCampos, Pedro Henrique Tancredo-
Autor(es): dc.creatorDa Silva Soares, Anderson-
Autor(es): dc.creatorJunior, Arnaldo Candido-
Autor(es): dc.creatorDa Silva Quirino, Ana Claudia Rodrigues-
Data de aceite: dc.date.accessioned2025-08-21T15:21:33Z-
Data de disponibilização: dc.date.available2025-08-21T15:21:33Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2021-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/SIBGRAPI55357.2022.9991806-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/246665-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/246665-
Descrição: dc.descriptionWe present a new images dataset called PTL-AI Furnas Dataset as a new benchmark for fault detection in power transmission lines. This dataset has 6,295 images, with resolution $1280\times 720$, extracted from the maintenance process of the energy transmission lines at Furnas company. It contains annotations of 17,808 components classified as baliser, bird nest, insulator, spacer and stockbridge. Furnas is a company that generates or transmits electricity to 51% of households in Brazil and more than 40% of the nation's electricity passes through their grid enabling generating the dataset in different backgrounds and climatic conditions. We performed experiments using data augmentation techniques to train Faster R-CNN, Single-Shot Detects (SSD) and YoloV5 models. The benchmark result was obtained using the metrics of Mean Average Precision (mAP) and the Mean Average Recall (mAR) with values mAP=91.9% and mAR=89.7%. The PTL-AI Furnas Dataset is publicly available at https://github.com/freds0/PTL-AI_Furnas_Dataset.-
Descrição: dc.descriptionFederal University of Mato Grosso (UFMT), MT-
Descrição: dc.descriptionEletrobras-Furnas, RJ-
Descrição: dc.descriptionUniversidade Federal de Goiás (UFG), GO-
Descrição: dc.descriptionUniversidade Estadual Paulista (UNESP), SP-
Descrição: dc.descriptionUniversidade Estadual Paulista (UNESP), SP-
Formato: dc.format7-12-
Idioma: dc.languageen-
Relação: dc.relationProceedings - 2022 35th Conference on Graphics, Patterns, and Images, SIBGRAPI 2022-
???dc.source???: dc.sourceScopus-
Título: dc.titlePTL-AI Furnas Dataset: A Public Dataset for Fault Detection in Power Transmission Lines Using Aerial Images-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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