«crnn-ctc» implemented CRNN+CTC
ONLINE DEMO：LICENSE PLATE RECOGNITION
| Model | ARCH | Input Shape | GFLOPs | Model Size (MB) | EMNIST Accuracy (%) | Training Data | Testing Data |
|---|---|---|---|---|---|---|---|
| CRNN | CONV+GRU | (1, 32, 160) | 2.2 | 31 | 98.718 | 100,000 | 5,000 |
| CRNN_Tiny | CONV+GRU | (1, 32, 160) | 0.1 | 1.7 | 98.278 | 100,000 | 5,000 |
| Model | ARCH | Input Shape | GFLOPs | Model Size (MB) | ChineseLicensePlate Accuracy (%) | Training Data | Testing Data |
|---|---|---|---|---|---|---|---|
| CRNN | CONV+GRU | (3, 48, 168) | 4.0 | 58 | 82.384 | 269,621 | 149,002 |
| CRNN_Tiny | CONV+GRU | (3, 48, 168) | 0.3 | 4.0 | 76.226 | 269,621 | 149,002 |
For each sub-dataset, the model performance as follows:
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