Sample RankingRecallPrecisionHmean
Baidu IDL100.00%100.00%100.00%
HIK_OCR_V1100.00%100.00%100.00%
crpn100.00%100.00%100.00%
HappyCCL100.00%100.00%100.00%
PSENet_NJU_ImagineLab (single-scale)100.00%100.00%100.00%
ArtDet (single scale)100.00%100.00%100.00%
SEG-PIXEL-PAN (single-scale)100.00%100.00%100.00%
CM-CV&AR100.00%100.00%100.00%
JDAI100.00%100.00%100.00%
TH100.00%100.00%100.00%
TextFuseNet100.00%100.00%100.00%
DCLNet100.00%100.00%100.00%
CPN (multi-scale)100.00%100.00%100.00%
SRC-B-MachineLearningLab-v3100.00%95.24%97.56%
SPCNet_TongJi & UESTC (single scale)100.00%95.24%97.56%
DAL(multi-scale)100.00%95.24%97.56%
Drew100.00%95.24%97.56%
Baidu IDL v395.00%100.00%97.44%
Tencent-DPPR95.00%100.00%97.44%
cvte_zju_v295.00%100.00%97.44%
ICT95.00%100.00%97.44%
HoText_v095.00%100.00%97.44%
Alibaba-PAI95.00%100.00%97.44%
east-modified95.00%100.00%97.44%
CRAFT95.00%100.00%97.44%
EAST-VGG1695.00%100.00%97.44%
PixelLink95.00%95.00%95.00%
textDetection95.00%95.00%95.00%
DAL95.00%95.00%95.00%
R-RetinaNet95.00%95.00%95.00%
NVTextSpotter95.00%95.00%95.00%
EAST reimplemention with resnet 5090.00%100.00%94.74%
Dahua-OCR v190.00%100.00%94.74%
CCFLAB_FTSN90.00%100.00%94.74%
Dahua-OCR V390.00%100.00%94.74%
Baidu VIS 90.00%100.00%94.74%
blank_net_v190.00%100.00%94.74%
Huaibeicun TextDetector90.00%100.00%94.74%
Alibaba-PAI90.00%100.00%94.74%
FOTS90.00%100.00%94.74%
Baidu VIS v290.00%100.00%94.74%
BUPT ICYBEE90.00%100.00%94.74%
YY-tl_final90.00%100.00%94.74%
Pixel-Anchor(single scale)90.00%100.00%94.74%
Pixel-Anchor(Multiscale)90.00%100.00%94.74%
Alibaba-PAI V290.00%100.00%94.74%
Shape-Aware Arbitrary Text Detector90.00%100.00%94.74%
ArtDet90.00%100.00%94.74%
Lanm90.00%100.00%94.74%
stela90.00%100.00%94.74%
Eleme-AI90.00%100.00%94.74%
MMLab-PolarMask++(Single Scale)90.00%100.00%94.74%
Sogou_MM100.00%86.96%93.02%
MSRA_v190.00%94.74%92.31%
Megvii-EAST90.00%94.74%92.31%
TextBoxes++90.00%94.74%92.31%
FTDN-SJTU90.00%94.74%92.31%
DDR_v390.00%94.74%92.31%
DDR_v490.00%94.74%92.31%
HoText_v190.00%94.74%92.31%
train twice90.00%94.74%92.31%
AFCTPN90.00%94.74%92.31%
RRPN++ (single scale)90.00%94.74%92.31%
FTDN-SJTU-v285.00%100.00%91.89%
DDR_v290.00%90.00%90.00%
R2CNN++ (single scale)90.00%90.00%90.00%
HUST_OrientedText85.00%94.44%89.47%
Baidu IDL v285.00%94.44%89.47%
RRPN-385.00%94.44%89.47%
hust_orientedText85.00%94.44%89.47%
RRPN-485.00%94.44%89.47%
SSTD85.00%94.44%89.47%
NLPR-CASIA85.00%94.44%89.47%
SegRPN85.00%94.44%89.47%
MultDet85.00%94.44%89.47%
ITN_VGG85.00%94.44%89.47%
PyTorch re-implementation of EAST85.00%94.44%89.47%
east improved85.00%94.44%89.47%
Huawei_GDE_AI85.00%94.44%89.47%
BJUT_FNIC90.00%85.71%87.80%
dengdan_zju_cad85.00%89.47%87.18%
TsinghuaOCR80.00%94.12%86.49%
CCFLAB80.00%94.12%86.49%
SenseTime V380.00%94.12%86.49%
my_east_with_atrous80.00%94.12%86.49%
YY_tl_v180.00%94.12%86.49%
test80.00%94.12%86.49%
CCFLAB_v175.00%100.00%85.71%
knet085.00%85.00%85.00%
CNN based model80.00%88.89%84.21%
q80.00%88.89%84.21%
another_segText80.00%88.89%84.21%
SCUT_DMPNet75.00%93.75%83.33%
RESULTS75.00%93.75%83.33%
knet175.00%88.24%81.08%
vm2475.00%88.24%81.08%
exp375.00%88.24%81.08%
SCUT_DMPNet_pro85.00%77.27%80.95%
Megvii-Image++70.00%93.33%80.00%
exp170.00%93.33%80.00%
SRC-B-MachineLearningLab75.00%83.33%78.95%
zju_cvte_seglink_51275.00%83.33%78.95%
SCUT_DMP_v270.00%87.50%77.78%
UCAS_CMVT370.00%87.50%77.78%
exp470.00%87.50%77.78%
AJOU75.00%78.95%76.92%
SRC-B-MachineLearningLab-v275.00%78.95%76.92%
CNN Proposal Based MSER65.00%76.47%70.27%
erTree_mxFlow_sigleDir65.00%72.22%68.42%
DDR_v170.00%66.67%68.29%
fast_ret_sh_0270.00%66.67%68.29%
TextCatcher-2 (LRDE)60.00%75.00%66.67%
zoomtext65.00%68.42%66.67%
CMVT_resNet55.00%73.33%62.86%
CTPN55.00%61.11%57.89%
YY-tl55.00%61.11%57.89%
resNet-32r-3dp50.00%62.50%55.56%
StradVision-155.00%52.38%53.66%
Stradvision-235.00%70.00%46.67%
NJU_Text_Version435.00%58.33%43.75%
NJU Text (Version2)30.00%66.67%41.38%
MCLAB_FCN30.00%66.67%41.38%
NJU_Text_Version230.00%46.15%36.36%
NJU_Text_Version535.00%35.00%35.00%
CASIA_USTB-Cascaded25.00%55.56%34.48%
NJU_Text_Version130.00%37.50%33.33%
Deep2Text-MO25.00%45.45%32.26%
HUST MCLAB (VER3.0)25.00%35.71%29.41%
HUST_MCLAB_VER1.020.00%30.77%24.24%
HUST_MCLAB_VER2.020.00%30.77%24.24%
HUST_MCLAB_VER.020.00%30.77%24.24%
rrpn example20.00%30.77%24.24%
rrpn ssprpns20.00%28.57%23.53%
TD-IMU15.00%37.50%21.43%
textbox15.00%37.50%21.43%
11115.00%30.00%20.00%
12315.00%30.00%20.00%
2015_test_result_2000_2200_0.815.00%30.00%20.00%
std++(single-scale)15.00%27.27%19.35%
TextFCN V215.00%25.00%18.75%
psenet10.00%18.18%12.90%
imagine0.00%0.00%0.00%
Full YOLO0.00%0.00%0.00%
Tiny YOLO0.00%0.00%0.00%
1234560.00%0.00%0.00%
EPTN-SJTU
CV_OCR_NOOB(single-scale)