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