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SensorsSensors
  • Correction
  • Open Access

4 August 2025

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Correction: Santos et al. Performance Assessment of Object Detection Models Trained with Synthetic Data: A Case Study on Electrical Equipment Detection. Sensors 2024, 24, 4219

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1
Department of Electrical Engineering, Federal University of Campina Grande, Campina Grande 58401-490, Brazil
2
INESC P&D Brasil, Santos 11055-300, Brazil
3
Department of Electrical Engineering, Federal University of Sergipe, São Cristóvão 49100-000, Brazil
4
Electrical Operation, Eneva S.A., Barra dos Coqueiros 49140-000, Brazil
The changes are described below:
  • INESC P&D Brasil was included as an entity to which several authors are affiliated;
  • David O. Santos, Jugurta Montalvão, Tarso V. Ferreira, and Eduardo O. Freire were linked to INESC P&D Brasil;
  • The author to whom correspondence should be sent was changed to Tarso V. Ferreira <tarso.vilela@inescbrasil.org.br>.
Despite these difficulties, there have already been remarkable achievements in object detection [1].
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Santos, D.O.; Montalvão, J.; Araujo, C.A.C.; Lebre, U.D.E.S.; Ferreira, T.V.; Freire, E.O. Performance Assessment of Object Detection Models Trained with Synthetic Data: A Case Study on Electrical Equipment Detection. Sensors 2024, 24, 4219. [Google Scholar] [CrossRef] [Scilit] [PubMed]
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