Validating a Trained OCR Model¶

The valid command is used to evaluate a trained license plate OCR model on a labeled dataset, using the same configuration and preprocessing setup used during training.

Basic Usage¶

fast-plate-ocr valid \
  --model trained_models/2025-06-28_14-33-51/best.keras \
  --plate-config-file config/latin_plates.yaml \
  --annotations data/val.csv

Output¶

Evaluation metrics will be printed to the terminal (e.g., accuracy, loss).
The script automatically compiles the model using the metrics defined during training.
It does not save new weights or modify the model.

Example Output¶

40/40 ━━━━━━━━━━━━━━━━━━━━ 10s 100ms/step - loss: 0.2185 - plate_acc: 0.921 - cat_acc: 0.983 - top_3_k: 0.998