Hindi OCR - CRNN+CTC Model
This model performs Optical Character Recognition (OCR) on Hindi printed text using a CRNN+CTC architecture.
Model Details
- Architecture: CRNN (Convolutional Recurrent Neural Network) with CTC (Connectionist Temporal Classification)
- Input: 900×64 grayscale images
- Output: Devanagari text with spaces
- Training Data: 80,000 synthetic Hindi text line images
Training Progress
Check the metrics_epoch_*.txt files for detailed performance metrics.
Usage
See the training notebook for inference examples.
License
MIT License
