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A First Look at Dataset Bias in License Plate Recognition
We performed experiments on eight datasets, four collected in Brazil and four in mainland China, and observed that each dataset has a unique, identifiable "signature" since a lightweight classification model predicts the source dataset of a license plate (LP) image with more than 95% accuracy.
ISEC: Iterative over-Segmentation via Edge Clustering
Several image pattern recognition tasks rely on superpixel generation as a fundamental step.
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