This project modifies Google’s Attention OCR model for Chinese character recognition. It uses a CRNN architecture combining convolutional layers with attention mechanisms to extract text from street view imagery. The model is trained on FSNS-format datasets containing 5,400 Chinese characters, and supports training custom datasets by following the provided dataset pipeline.