License Plate Recognition on CLPD
97.3Recognition RateTRBA + CCPD’s training set + synthetic
Evaluation results
| Method | Links | |
|---|---|---|
| TRBA + CCPD’s training set + syntheticReal images of Chinese LPs used for training=100,000+, Multinational=true2026.01 | 97.3 | |
| TRBA + syntheticReal images of Chinese LPs used for training=506, Multinational=true2026.01 | 96.2 | |
| Wang et al. (2022b)Real images of Chinese LPs used for training=100,000+, Multinational=false2026.01 | 95.3 | |
| Wang et al. (2022a)Real images of Chinese LPs used for training=100,000+, Multinational=false2026.01 | 94.8 | |
| Zou et al. (2022)Real images of Chinese LPs used for training=100,000+, Multinational=false2026.01 | 94.5 | |
| TRBA + CCPD’s training setReal images of Chinese LPs used for training=100,000+, Multinational=true2026.01 | 94.5 | |
| Zou et al. (2020)Real images of Chinese LPs used for training=100,000+, Multinational=false2026.01 | 94 | |
| Ke et al.Real images of Chinese LPs used for training=100,000+, Multinational=false2026.01 | 93.2 | |
| Chen et al.Real images of Chinese LPs used for training=100,000+, Multinational=false2026.01 | 92.4 | |
| OpenALPRReal images of Chinese LPs used for training=?, Multinational=false2026.01 | 91.8 | |
| Liu et al.Real images of Chinese LPs used for training=10,000, Multinational=false2026.01 | 91.7 | |
| Rao et al.Real images of Chinese LPs used for training=4,444, Multinational=false, Applied authors code and pre-trained models=true2026.01 | 91.4 | |
| TRBAReal images of Chinese LPs used for training=506, Multinational=true2026.01 | 90.1 | |
| Fan & ZhaoReal images of Chinese LPs used for training=100,000+, Multinational=true2026.01 | 88.5 | |
| Zhang et al.Real images of Chinese LPs used for training=100,000+, Multinational=false2026.01 | 87.6 | |
| SighthoundReal images of Chinese LPs used for training=?, Multinational=true2026.01 | 85.2 |