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
David O. Santos, Jugurta Montalvão, Charles A. C. Araujo, Ulisses D. E. S. Lebre, Tarso V. Ferreira, Eduardo O. Freire
Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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TopicsIndustrial Vision Systems and Defect Detection
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 [email protected].
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.
The reference list from the paper itself. Each links out to its DOI / PubMed record.