Rural distribution power line vegetation management dataset (vegetation, power line, power pole/structure, and background)

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Authors: Rafael Rieder, Jean Cássio Peres Barbosa, Charles Leonardo Israel, Ademilson Setti, Mateus Goetz, Diego Darci Langaro, Juliano Wagner Daronch, Cristiane de Fatima Ribeiro, Fabricio Paris, Alessandra Aparecida Robaldo dos Santos Sefrin, Herber Fontoura, Cristian Hans Correa
+1 more Tiago Cícero Engroff
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Abstract

This dataset comprises 2,404 images of rural distribution power lines (and some abutting areas in urban zones), categorized into four classes: vegetation, power line, power pole/structure, and background. It is one of the results of Jean Cassio Peres Barbosa's master's thesis, advised by Prof. Dr. Rafael Rieder. This study was also supported by Charles Leonardo Israel, Ademilson Setti, Mateus Goetz, Diego Darci Langaro, Juliano Wagner Daronch, Cristiane de Fatima Ribeiro, and Fabrício Páris. From this dataset, we labeled:- 3093 polygons as vegetation (class 0);- 6807 polygons as power line (class 1);- 2224 polygons as power pole/structure (class 2);- 386 polygon masks (holes) as background (class 3). The authors acknowledge the financial support from Companhia Paulista de Força e Luz (CPFL – Distribuição) through the Research, Development, and Innovation Program of the Brazilian Electricity Regulatory Agency (ANEEL), under contract PD-00063-3099/2024, and the institutional support from Fundação Universidade de Passo Fundo (FUPF).

Fields of Study & Subjects

Power Line Inspection Robots Advanced Neural Network Applications Remote-Sensing Image Classification

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
27 January 2026
Document type
Dataset