Sample RankingRecallPrecisionHmean
NVTextSpotter100.00%100.00%100.00%
cvte_zju_v288.89%100.00%94.12%
SEG-PIXEL-PAN (single-scale)88.89%100.00%94.12%
JDAI88.89%100.00%94.12%
TextFuseNet88.89%100.00%94.12%
HUST_OrientedText88.89%88.89%88.89%
SPCNet_TongJi & UESTC (single scale)88.89%88.89%88.89%
Baidu IDL v277.78%100.00%87.50%
hust_orientedText77.78%100.00%87.50%
SSTD77.78%100.00%87.50%
Tencent-DPPR77.78%100.00%87.50%
knet077.78%100.00%87.50%
Baidu VIS 77.78%100.00%87.50%
ITN_VGG77.78%100.00%87.50%
HIK_OCR_V177.78%100.00%87.50%
PSENet_NJU_ImagineLab (single-scale)77.78%100.00%87.50%
Baidu VIS v277.78%100.00%87.50%
Sogou_MM77.78%100.00%87.50%
Pixel-Anchor(Multiscale)77.78%100.00%87.50%
Alibaba-PAI V277.78%100.00%87.50%
ArtDet77.78%100.00%87.50%
PyTorch re-implementation of EAST77.78%100.00%87.50%
CM-CV&AR77.78%100.00%87.50%
Eleme-AI77.78%100.00%87.50%
TH77.78%100.00%87.50%
RRPN++ (single scale)77.78%100.00%87.50%
DAL77.78%100.00%87.50%
exp477.78%100.00%87.50%
Baidu IDL77.78%87.50%82.35%
RRPN-477.78%87.50%82.35%
NLPR-CASIA77.78%87.50%82.35%
YY-tl_final77.78%87.50%82.35%
Pixel-Anchor(single scale)77.78%87.50%82.35%
HoText_v166.67%100.00%80.00%
YY_tl_v166.67%100.00%80.00%
ArtDet (single scale)66.67%100.00%80.00%
std++(single-scale)66.67%100.00%80.00%
MMLab-PolarMask++(Single Scale)66.67%100.00%80.00%
Huawei_GDE_AI66.67%100.00%80.00%
exp166.67%100.00%80.00%
CNN based model66.67%85.71%75.00%
SRC-B-MachineLearningLab-v266.67%85.71%75.00%
SRC-B-MachineLearningLab-v366.67%85.71%75.00%
Baidu IDL v366.67%85.71%75.00%
TextBoxes++66.67%85.71%75.00%
dengdan_zju_cad66.67%85.71%75.00%
EAST reimplemention with resnet 5066.67%85.71%75.00%
SegRPN66.67%85.71%75.00%
FTDN-SJTU66.67%85.71%75.00%
Dahua-OCR V366.67%85.71%75.00%
SenseTime V366.67%85.71%75.00%
PixelLink66.67%85.71%75.00%
ICT66.67%85.71%75.00%
FTDN-SJTU-v266.67%85.71%75.00%
Huaibeicun TextDetector66.67%85.71%75.00%
Alibaba-PAI66.67%85.71%75.00%
HoText_v066.67%85.71%75.00%
HappyCCL66.67%85.71%75.00%
Alibaba-PAI66.67%85.71%75.00%
east-modified66.67%85.71%75.00%
textDetection66.67%85.71%75.00%
vm2466.67%85.71%75.00%
BUPT ICYBEE66.67%85.71%75.00%
R2CNN++ (single scale)66.67%85.71%75.00%
CRAFT66.67%85.71%75.00%
Shape-Aware Arbitrary Text Detector66.67%85.71%75.00%
Lanm66.67%85.71%75.00%
stela66.67%85.71%75.00%
DAL(multi-scale)66.67%85.71%75.00%
R-RetinaNet66.67%85.71%75.00%
DCLNet66.67%85.71%75.00%
Drew66.67%85.71%75.00%
another_segText66.67%85.71%75.00%
test66.67%85.71%75.00%
exp366.67%85.71%75.00%
MCLAB_FCN55.56%100.00%71.43%
CTPN55.56%100.00%71.43%
SRC-B-MachineLearningLab55.56%100.00%71.43%
blank_net_v155.56%100.00%71.43%
Megvii-EAST66.67%75.00%70.59%
knet166.67%75.00%70.59%
CCFLAB_FTSN66.67%75.00%70.59%
q66.67%75.00%70.59%
FOTS66.67%75.00%70.59%
EAST-VGG1666.67%75.00%70.59%
RESULTS66.67%75.00%70.59%
Megvii-Image++55.56%83.33%66.67%
CASIA_USTB-Cascaded55.56%83.33%66.67%
SCUT_DMPNet55.56%83.33%66.67%
RRPN-355.56%83.33%66.67%
MSRA_v155.56%83.33%66.67%
SCUT_DMP_v255.56%83.33%66.67%
SCUT_DMPNet_pro55.56%83.33%66.67%
CCFLAB55.56%83.33%66.67%
CCFLAB_v155.56%83.33%66.67%
zju_cvte_seglink_51255.56%83.33%66.67%
MultDet55.56%83.33%66.67%
DDR_v255.56%83.33%66.67%
DDR_v355.56%83.33%66.67%
DDR_v455.56%83.33%66.67%
BJUT_FNIC55.56%83.33%66.67%
crpn55.56%83.33%66.67%
resNet-32r-3dp55.56%83.33%66.67%
train twice55.56%83.33%66.67%
fast_ret_sh_0255.56%83.33%66.67%
AFCTPN55.56%83.33%66.67%
psenet66.67%60.00%63.16%
Dahua-OCR v155.56%71.43%62.50%
my_east_with_atrous55.56%71.43%62.50%
erTree_mxFlow_sigleDir55.56%71.43%62.50%
YY-tl55.56%71.43%62.50%
CNN Proposal Based MSER44.44%100.00%61.54%
TextFCN V244.44%100.00%61.54%
zoomtext44.44%100.00%61.54%
DDR_v166.67%54.55%60.00%
HUST_MCLAB_VER1.044.44%80.00%57.14%
HUST_MCLAB_VER2.044.44%80.00%57.14%
HUST_MCLAB_VER.044.44%80.00%57.14%
StradVision-144.44%80.00%57.14%
TsinghuaOCR44.44%80.00%57.14%
UCAS_CMVT344.44%80.00%57.14%
east improved44.44%80.00%57.14%
rrpn example55.56%55.56%55.56%
rrpn ssprpns55.56%55.56%55.56%
HUST MCLAB (VER3.0)44.44%66.67%53.33%
CMVT_resNet44.44%66.67%53.33%
Deep2Text-MO33.33%100.00%50.00%
textbox33.33%100.00%50.00%
12345633.33%100.00%50.00%
11133.33%100.00%50.00%
12333.33%100.00%50.00%
2015_test_result_2000_2200_0.833.33%75.00%46.15%
TD-IMU33.33%60.00%42.86%
TextCatcher-2 (LRDE)44.44%33.33%38.10%
Stradvision-222.22%100.00%36.36%
NJU Text (Version2)22.22%66.67%33.33%
NJU_Text_Version422.22%66.67%33.33%
AJOU22.22%50.00%30.77%
Full YOLO22.22%50.00%30.77%
NJU_Text_Version122.22%40.00%28.57%
NJU_Text_Version222.22%40.00%28.57%
NJU_Text_Version522.22%40.00%28.57%
Tiny YOLO22.22%33.33%26.67%
imagine0.00%0.00%0.00%
EPTN-SJTU
CV_OCR_NOOB(single-scale)