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Papers Benchmarks Datasets Tasks

License Plate Recognition research benchmarks · SOTA2 Research

License Plate Recognition

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

EnglishLP (test)

99Recognition Rate

42

Feb 26, 2026

99.1Recognition Rate

20

Feb 26, 2026

CLPD (cross-dataset)

96.2Recognition Rate

16

Feb 26, 2026

CD-HARD (cross-dataset)

76.9Recognition Rate

16

Feb 26, 2026

PKU cross-dataset

99.5Recognition Rate

16

Feb 26, 2026

RodoSol-ALPR intra-dataset protocol (test)

97.9Recognition Rate

16

Feb 26, 2026

UFPR-ALPR intra-dataset protocol (test)

0.961Recognition Rate

16

Feb 26, 2026

SSIG-SegPlate intra-dataset protocol (test)

0.994Recognition Rate

16

Feb 26, 2026

AOLP intra-dataset protocol (test)

99.9Recognition Rate

16

Feb 26, 2026

ChineseLP intra-dataset protocol (test)

100Recognition Rate

16

Feb 26, 2026

UCSD-Stills intra-dataset protocol (test)

100Recognition Rate

16

Feb 26, 2026

Caltech Cars intra-dataset protocol (test)

97.8Recognition Rate

16

Feb 26, 2026

TRBA + CCPD’s training set + synthetic

97.3Recognition Rate

16

Feb 26, 2026

TRBA + CCPD’s training set + synthetic

99.5Recognition Rate

15

Jun 29, 2026

99.19Accuracy

11

Jun 5, 2026

99.85Accuracy

11

Jun 5, 2026

99.37Accuracy

10

Jun 1, 2026

UFPR-ALPR (test)

Ours + synthetic

0.94Recognition Rate

10

Feb 26, 2026

Laroca et al. (2021b) (run 1)

99.4Recognition Rate

10

Feb 26, 2026

97.59Accuracy

10

Feb 26, 2026

Real-Blur-LP 1.0 (test)

Ours (Qwen3-VL + CMRM)

89.4Accuracy

9

Feb 26, 2026

93.83Accuracy

9

Feb 26, 2026

90.39Accuracy

8

Jun 1, 2026

98.9Accuracy

8

Jun 1, 2026

99.15Accuracy

8

Jun 1, 2026

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