PaddleOCR/doc/doc_en/models_list_en.md

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OCR model listV1.1, updated on 9.22

The downloadable models provided by PaddleOCR include inference model, trained model, pre-trained model and slim model. The differences between the models are as follows:

model type model format description
inference model model、params Used for reasoning based on Python prediction engine. detail
trained model / pre-trained model *.pdmodel、*.pdopt、*.pdparams The checkpoints model saved in the training process, which stores the parameters of the model, mostly used for model evaluation and continuous training.
slim model *.nb Generally used for Lite deployment

1. Text Detection Model

model name description config model size download
ch_ppocr_mobile_slim_v1.1_det Slim pruned lightweight model, supporting Chinese, English, multilingual text detection det_mv3_db_v1.1.yml 1.4M inference model / slim model
ch_ppocr_mobile_v1.1_det Original lightweight model, supporting Chinese, English, multilingual text detection det_mv3_db_v1.1.yml 2.6M inference model / trained model
ch_ppocr_server_v1.1_det General model, which is larger than the lightweight model, but achieved better performance det_r18_vd_db_v1.1.yml 47.2M inference model / trained model

2. Text Recognition Model

Chinese Recognition Model

model name description config model size download
ch_ppocr_mobile_slim_v1.1_rec Slim pruned and quantized lightweight model, supporting Chinese, English and number recognition rec_chinese_lite_train_v1.1.yml 1.6M inference model / slim model
ch_ppocr_mobile_v1.1_rec Original lightweight model, supporting Chinese, English and number recognition rec_chinese_lite_train_v1.1.yml 4.6M inference model / trained model / pre-trained model
ch_ppocr_server_v1.1_rec General model, supporting Chinese, English and number recognition rec_chinese_common_train_v1.1.yml 105M inference model / trained model / pre-trained model

Note: The trained model is finetuned on the pre-trained model with real data and synthsized vertical text data, which achieved better performance in real scene. The pre-trained model is directly trained on the full amount of real data and synthsized data, which is more suitable for finetune on your own dataset.

English Recognition Model

model name description config model size download
en_ppocr_mobile_slim_v1.1_rec Slim pruned and quantized lightweight model, supporting English and number recognition rec_en_lite_train.yml 0.9M inference model / slim model
en_ppocr_mobile_v1.1_rec Original lightweight model, supporting English and number recognition rec_en_lite_train.yml 2.0M inference model / trained model

Multilingual Recognition ModelUpdating...

model name description config model size download
french_ppocr_mobile_v1.1_rec Lightweight model for French recognition rec_french_lite_train.yml 2.1M inference model / trained model
german_ppocr_mobile_v1.1_rec German model for French recognition rec_ger_lite_train.yml 2.1M inference model / trained model
korean_ppocr_mobile_v1.1_rec Lightweight model for Korean recognition rec_korean_lite_train.yml 3.4M inference model / trained model
japan_ppocr_mobile_v1.1_rec Lightweight model for Japanese recognition rec_japan_lite_train.yml 3.7M inference model / trained model

3. Text Angle Classification Model

model name description config model size download
ch_ppocr_mobile_v1.1_cls_quant Slim quantized model cls_mv3.yml 0.5M inference model / trained model / slim model
ch_ppocr_mobile_v1.1_cls Original model cls_mv3.yml 850kb inference model / trained model

OCR model listV1.0, updated on 7.16

model name description detection model recognition model recognition model supporting space recognition
chinese_db_crnn_mobile 8.6M lightweight OCR model inference model / trained model inference model / trained model inference model / trained model
chinese_db_crnn_server General OCR model inference model / trained model inference model / trained model inference model / trained model