Greek Sentence-Level HTR - CRNN + CTC (Improved)
Performance
| Metric | Before | After |
|---|---|---|
| CER | 7.81% | 7.60% |
| WER | 36.42% | 35.81% |
Improvements Applied
- Post-processing to fix space errors around punctuation
- Fine-tuned at LR=1e-5 for additional epochs
Architecture
- CNN: 5-block with BatchNorm (64->128->256->256->512)
- RNN: 2x BiLSTM hidden=512 with Dropout(0.3)
- Decoder: CTC (BestPath / BeamSearch)
- Input: 1024x64, Max sequence: 128 chars
Usage
python main.py --infer --image your_image.png
python main.py --infer --image your_image.png --beamsearch
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support