Aug 23, 2022 · We performed experiments on eight datasets, four collected in Brazil and four in mainland China, and observed that each dataset has a unique, ...
We performed experiments on eight datasets, four collected in Brazil and four in mainland China, and observed that each dataset has a unique, identifiable “ ...
Although dataset bias has been recognized as a severe problem in the computer vision community, it has been largely overlooked in the LPR literature. LPR models ...
The dataset bias problem in the LPR context is investigated, and it is observed that each dataset has a unique, identifiable “signature” since a lightweight ...
A First Look at Dataset Bias in License Plate Recognition. Rayson Laroca1 ... Two initial ways to mitigate the dataset bias problem in LPR: Leveraging ...
Aug 26, 2022 · In our discussion, we draw attention to the fact that most LPR models are probably exploiting such signatures to improve the results achieved in ...
This dataset includes 4500 fully annotated images (over 30000 license plate characters) from 150 vehicles in real-world scenarios where both the vehicle and ...
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... datasets widely adopted in License Plate Recognition (LPR) research. License ... A First Look at Dataset Bias in License Plate Recognition · no code ...
Readers: Everyone. A First Look at Dataset Bias in License Plate Recognition · pdf icon · hmtl icon · Rayson Laroca, Marcelo dos Santos, Valter Estevam, Eduardo ...
Menotti, "A First Look at Dataset Bias in License Plate Recognition," in Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 234-239, Oct. 2022 ...