Script classifier architecture

Script classifier v1 acc=99.82%

English model v2 CER=0.0000 ep=4 — fixed digits + bold caps

English fine-tuned v2 CER=0.0054 (function words + bold caps)

English vocab v2

English model architecture v2

English model retrain v2 CER=0.0001 (fixed preprocessing + digit training)

Update bengali/vocab.json

English vocab

English model architecture

English model CER=0.0000

Bengali vocab

Bengali model architecture

Bengali fine-tuned model

Fine-tuned on 200K synthetic CER=0.6192

Bengali model CER=0.0046

Detection model mAP=0.9840

initial commit