PaddleOCR/doc/doc_en/models_list_en.md

OCR model list（V2.0, updated on 2020.12.12）

• 1. Text Detection Model
• 2. Text Recognition Model
  • Chinese Recognition Model
  • English Recognition Model
  • Multilingual Recognition Model
• 3. Text Angle Classification Model

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	inference.pdmodel、inference.pdiparams	Used for reasoning based on Python prediction engine，detail
trained model, pre-trained model	*.pdparams、*.pdopt、*.states	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_v2.0_det	Slim pruned lightweight model, supporting Chinese, English, multilingual text detection	ch_det_mv3_db_v2.0.yml		inference model (coming soon) / slim model (coming soon)
ch_ppocr_mobile_v2.0_det	Original lightweight model, supporting Chinese, English, multilingual text detection	ch_det_mv3_db_v2.0.yml	3M	inference model / trained model
ch_ppocr_server_v2.0_det	General model, which is larger than the lightweight model, but achieved better performance	ch_det_res18_db_v2.0.yml	47M	inference model / trained model

2. Text Recognition Model

Chinese Recognition Model

model name	description	config	model size	download
ch_ppocr_mobile_slim_v2.0_rec	Slim pruned and quantized lightweight model, supporting Chinese, English and number recognition	rec_chinese_lite_train_v2.0.yml		inference model (coming soon) / slim model (coming soon)
ch_ppocr_mobile_v2.0_rec	Original lightweight model, supporting Chinese, English and number recognition	rec_chinese_lite_train_v2.0.yml	3.71M	inference model / trained model / pre-trained model
ch_ppocr_server_v2.0_rec	General model, supporting Chinese, English and number recognition	rec_chinese_common_train_v2.0.yml	94.8M	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_number_mobile_slim_v2.0_rec	Slim pruned and quantized lightweight model, supporting English and number recognition	rec_en_number_lite_train.yml		inference model (coming soon ) / slim model (coming soon)
en_number_mobile_v2.0_rec	Original lightweight model, supporting English and number recognition	rec_en_number_lite_train.yml	2.56M	inference model / trained model

Multilingual Recognition Model（Updating...）

model name	description	config	model size	download
french_mobile_v2.0_rec	Lightweight model for French recognition	rec_french_lite_train.yml	2.65M	inference model / trained model
german_mobile_v2.0_rec	Lightweight model for French recognition	rec_german_lite_train.yml	2.65M	inference model / trained model
korean_mobile_v2.0_rec	Lightweight model for Korean recognition	rec_korean_lite_train.yml	3.9M	inference model / trained model
japan_mobile_v2.0_rec	Lightweight model for Japanese recognition	rec_japan_lite_train.yml	4.23M	inference model / trained model

3. Text Angle Classification Model

model name	description	config	model size	download
ch_ppocr_mobile_slim_v2.0_cls	Slim quantized model	cls_mv3.yml		inference model (coming soon) / trained model / slim model
ch_ppocr_mobile_v2.0_cls	Original model	cls_mv3.yml	1.38M	inference model / trained model