invoice_ocr/utils/PaddleOCR/doc/doc_en/benchmark_en.md

BENCHMARK

This document gives the performance of the series models for Chinese and English recognition.

TEST DATA

We collected 300 images for different real application scenarios to evaluate the overall OCR system, including contract samples, license plates, nameplates, train tickets, test sheets, forms, certificates, street view images, business cards, digital meter, etc. The following figure shows some images of the test set.

MEASUREMENT

Explanation:

• v1.0 indicates DB+CRNN models without the strategies. v1.1 indicates the PP-OCR models with the strategies and the direction classify. slim_v1.1 indicates the PP-OCR models with prunner or quantization.

• The long size of the input for the text detector is 960.

• The evaluation time-consuming stage is the complete stage from image input to result output, including image pre-processing and post-processing.

• Intel Xeon 6148 is the server-side CPU model. Intel MKL-DNN is used in the test to accelerate the CPU prediction speed.

• Snapdragon 855 is a mobile processing platform model.

Compares the model size and F-score:

Model Name	Model Size of the Whole System(M)	Model Size of the Text Detector(M)	Model Size of the Direction Classifier(M)	Model Size of the Text Recognizer (M)	F-score
ch_ppocr_mobile_v1.1	8.1	2.6	0.9	4.6	0.5193
ch_ppocr_server_v1.1	155.1	47.2	0.9	107	0.5414
ch_ppocr_mobile_v1.0	8.6	4.1	-	4.5	0.393
ch_ppocr_server_v1.0	203.8	98.5	-	105.3	0.4436

Compares the time-consuming on T4 GPU (ms):

Model Name	Overall	Text Detector	Direction Classifier	Text Recognizer
ch_ppocr_mobile_v1.1	137	35	24	78
ch_ppocr_server_v1.1	204	39	25	140
ch_ppocr_mobile_v1.0	117	41	-	76
ch_ppocr_server_v1.0	199	52	-	147

Compares the time-consuming on CPU (ms):

Model Name	Overall	Text Detector	Direction Classifier	Text Recognizer
ch_ppocr_mobile_v1.1	421	164	51	206
ch_ppocr_mobile_v1.0	398	219	-	179

Compares the model size, F-score, the time-consuming on SD 855 of between the slim models and the original models:

Model Name	Model Size of the Whole System(M)	Model Size of the Text Detector(M)	Model Size of the Direction Classifier(M)	Model Size of the Text Recognizer (M)	F-score	SD 855 (ms)
ch_ppocr_mobile_v1.1	8.1	2.6	0.9	4.6	0.5193	306
ch_ppocr_mobile_slim_v1.1	3.5	1.4	0.5	1.6	0.521	268